An ANN is a model based on a collection of connected units or nodes called "artificial neurons", which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit information, a "signal", from one artificial neuron to another. An artificial neuron that receives a signal can process it and then signal additional artificial neurons connected to it. In common ANN implementations, the signal at a connection between artificial neurons is a real number, and the output of each artificial neuron is computed by some non-linear function of the sum of its inputs. The connections between artificial neurons are called "edges". Artificial neurons and edges typically have a weight that adjusts as learning proceeds. The weight increases or decreases the strength of the signal at a connection. Artificial neurons may have a threshold such that the signal is only sent if the aggregate signal crosses that threshold. Typically, artificial neurons are aggregated into layers. Different layers may perform different kinds of transformations on their inputs. Signals travel from the first layer (the input layer) to the last layer (the output layer), possibly after traversing the layers multiple times. The original goal of the ANN approach was to solve problems in the same way that a human brain would. However, over time, attention moved to performing specific tasks, leading to deviations from biology. Artificial neural networks have been used on a variety of tasks, including computer vision, speech recognition, machine translation, social network filtering, playing board and video games and medical diagnosis. Deep learning consists of multiple hidden layers in an artificial neural network. This approach tries to model the way the human brain processes light and sound into vision and hearing. Some successful applications of deep learning are computer vision and speech recognition.[68] Decision trees Main article: Decision tree learning Decision tree learning uses a decision tree as a predictive model to go from observations about an item (represented in the branches) to conclusions about the item's target value (represented in the leaves). It is one of the predictive modeling approaches used in statistics, data mining, and machine learning. Tree models where the target variable can take a discrete set of values are called classification trees; in these tree structures, leaves represent class labels and branches represent conjunctions of features that lead to those class labels. Decision trees where the target variable can take continuous values (typically real numbers) are called regression trees. In decision analysis, a decision tree can be used to visually and explicitly represent decisions and decision making. In data mining, a decision tree describes data, but the resulting classification tree can be an input for decision making. Support vector machines Main article: Support vector machines Support vector machines (SVMs), also known as support vector networks, are a set of related supervised learning methods used for classification and regression. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that predicts whether a new example falls into one category or the other.[69] An SVM training algorithm is a non-probabilistic, binary, linear classifier, although methods such as Platt scaling exist to use SVM in a probabilistic classification setting. In addition to performing linear classification, SVMs can efficiently perform a non-linear classification using what is called the kernel trick, implicitly mapping their inputs into high-dimensional feature spaces. Illustration of linear regression on a data set. Regression analysis Main article: Regression analysis Regression analysis encompasses a large variety of statistical methods to estimate the relationship between input variables and their associated features. Its most common form is linear regression, where a single line is drawn to best fit the given data according to a mathematical criterion such as ordinary least squares. The latter is often extended by regularization (mathematics) methods to mitigate overfitting and bias, as in ridge regression. When dealing with non-linear problems, go-to models include polynomial regression (for example, used for trendline fitting in Microsoft Excel[70]), logistic regression (often used in statistical classification) or even kernel regression, which introduces non-linearity by taking advantage of the kernel trick to implicitly map input variables to higher-dimensional space. Bayesian networks Main article: Bayesian network A simple Bayesian network. Rain influences whether the sprinkler is activated, and both rain and the sprinkler influence whether the grass is wet. A Bayesian network, belief network, or directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional independence with a directed acyclic graph (DAG). For example, a Bayesian network could represent the probabilistic relationships between diseases and symptoms. Given symptoms, the network can be used to compute the probabilities of the presence of various diseases. Efficient algorithms exist that perform inference and learning. Bayesian networks that model sequences of variables, like speech signals or protein sequences, are called dynamic Bayesian networks. Generalizations of Bayesian networks that can represent and solve decision problems under uncertainty are called influence diagrams. Genetic algorithms Main article: Genetic algorithm A genetic algorithm (GA) is a search algorithm and heuristic technique that mimics the process of natural selection, using methods such as mutation and crossover to generate new genotypes in the hope of finding good solutions to a given problem. In machine learning, genetic algorithms were used in the 1980s and 1990s.[71][72] Conversely, machine learning techniques have been used to improve the performance of genetic and evolutionary algorithms.[73] Training models Usually, machine learning models require a lot of data in order for them to perform well. Usually, when training a machine learning model, one needs to collect a large, representative sample of data from a training set. Data from the training set can be as varied as a corpus of text, a collection of images, and data collected from individual users of a service. Overfitting is something to watch out for when training a machine learning model. Federated learning Main article: Federated learning Federated learning is an adapted form of distributed artificial intelligence to training machine learning models that decentralizes the training process, allowing for users' privacy to be maintained by not needing to send their data to a centralized server. This also increases efficiency by decentralizing the training process to many devices. For example, Gboard uses federated machine learning to train search query prediction models on users' mobile phones without having to send individual searches back to Google.[74] Applications There are many applications for machine learning, including: Agriculture Anatomy Adaptive websites Affective computing Banking Bioinformatics Brain–machine interfaces Cheminformatics Citizen science Computer networks Computer vision Credit-card fraud detection Data quality DNA sequence classification Economics Financial market analysis[75] General game playing Handwriting recognition Information retrieval Insurance Internet fraud detection Linguistics Machine learning control Machine perception Machine translation Marketing Medical diagnosis Natural language processing Natural language understanding Online advertising Optimization Recommender systems Robot locomotion Search engines Sentiment analysis Sequence mining Software engineering Speech recognition Structural health monitoring Syntactic pattern recognition Telecommunication Theorem proving Time series forecasting User behavior analytics In 2006, the media-services provider Netflix held the first "Netflix Prize" competition to find a program to better predict user preferences and improve the accuracy of its existing Cinematch movie recommendation algorithm by at least 10%. A joint team made up of researchers from AT&T Labs-Research in collaboration with the teams Big Chaos and Pragmatic Theory built an ensemble model to win the Grand Prize in 2009 for $1 million.[76] Shortly after the prize was awarded, Netflix realized that viewers' ratings were not the best indicators of their viewing patterns ("everything is a recommendation") and they changed their recommendation engine accordingly.[77] In 2010 The Wall Street Journal wrote about the firm Rebellion Research and their use of machine learning to predict the financial crisis.[78] In 2012, co-founder of Sun Microsystems, Vinod Khosla, predicted that 80% of medical doctors' jobs would be lost in the next two decades to automated machine learning medical diagnostic software.[79] In 2014, it was reported that a machine learning algorithm had been applied in the field of art history to study fine art paintings and that it may have revealed previously unrecognized influences among artists.[80] In 2019 Springer Nature published the first research book created using machine learning.[81] Limitations Although machine learning has been transformative in some fields, machine-learning programs often fail to deliver expected results.[82][83][84] Reasons for this are numerous: lack of (suitable) data, lack of access to the data, data bias, privacy problems, badly chosen tasks and algorithms, wrong tools and people, lack of resources, and evaluation problems.[85] In 2018, a self-driving car from Uber failed to detect a pedestrian, who was killed after a collision.[86] Attempts to use machine learning in healthcare with the IBM Watson system failed to deliver even after years of time and billions of dollars invested.[87][88] Bias Main article: Algorithmic bias Machine learning approaches in particular can suffer from different data biases. A machine learning system trained on current customers only may not be able to predict the needs of new customer groups that are not represented in the training data. When trained on man-made data, machine learning is likely to pick up the same constitutional and unconscious biases already present in society.[89] Language models learned from data have been shown to contain human-like biases.[90][91] Machine learning systems used for criminal risk assessment have been found to be biased against black people.[92][93] In 2015, Google photos would often tag black people as gorillas,[94] and in 2018 this still was not well resolved, but Google reportedly was still using the workaround to remove all gorillas from the training data, and thus was not able to recognize real gorillas at all.[95] Similar issues with recognizing non-white people have been found in many other systems.[96] In 2016, Microsoft tested a chatbot that learned from Twitter, and it quickly picked up racist and sexist language.[97] Because of such challenges, the effective use of machine learning may take longer to be adopted in other domains.[98] Concern for fairness in machine learning, that is, reducing bias in machine learning and propelling its use for human good is increasingly expressed by artificial intelligence scientists, including Fei-Fei Li, who reminds engineers that "There’s nothing artificial about AI...It’s inspired by people, it’s created by people, and—most importantly—it impacts people. It is a powerful tool we are only just beginning to understand, and that is a profound responsibility.”[99] Model assessments Classification of machine learning models can be validated by accuracy estimation techniques like the holdout method, which splits the data in a training and test set (conventionally 2/3 training set and 1/3 test set designation) and evaluates the performance of the training model on the test set. In comparison, the K-fold-cross-validation method randomly partitions the data into K subsets and then K experiments are performed each respectively considering 1 subset for evaluation and the remaining K-1 subsets for training the model. In addition to the holdout and cross-validation methods, bootstrap, which samples n instances with replacement from the dataset, can be used to assess model accuracy.[100] In addition to overall accuracy, investigators frequently report sensitivity and specificity meaning True Positive Rate (TPR) and True Negative Rate (TNR) respectively. Similarly, investigators sometimes report the false positive rate (FPR) as well as the false negative rate (FNR). However, these rates are ratios that fail to reveal their numerators and denominators. The total operating characteristic (TOC) is an effective method to express a model's diagnostic ability. TOC shows the numerators and denominators of the previously mentioned rates, thus TOC provides more information than the commonly used receiver operating characteristic (ROC) and ROC's associated area under the curve (AUC).[101] Ethics Machine learning poses a host of ethical questions. Systems which are trained on datasets collected with biases may exhibit these biases upon use (algorithmic bias), thus digitizing cultural prejudices.[102] For example, using job hiring data from a firm with racist hiring policies may lead to a machine learning system duplicating the bias by scoring job applicants against similarity to previous successful applicants.[103][104] Responsible collection of data and documentation of algorithmic rules used by a system thus is a critical part of machine learning. Because human languages contain biases, machines trained on language corpora will necessarily also learn these biases.[105][106] Other forms of ethical challenges, not related to personal biases, are more seen in health care. There are concerns among health care professionals that these systems might not be designed in the public's interest but as income-generating machines. This is especially true in the United States where there is a long-standing ethical dilemma of improving health care, but also increasing profits. For example, the algorithms could be designed to provide patients with unnecessary tests or medication in which the algorithm's proprietary owners hold stakes. There is huge potential for machine learning in health care to provide professionals a great tool to diagnose, medicate, and even plan recovery paths for patients, but this will not happen until the personal biases mentioned previously, and these "greed" biases are addressed.[107] Hardware Since the 2010s, advances in both machine learning algorithms and computer hardware have led to more efficient methods for training deep neural networks (a particular narrow subdomain of machine learning) that contain many layers of non-linear hidden units.[108] By 2019, graphic processing units (GPUs), often with AI-specific enhancements, had displaced CPUs as the dominant method of training large-scale commercial cloud AI.[109] OpenAI estimated the hardware compute used in the largest deep learning projects from AlexNet (2012) to AlphaZero (2017), and found a 300,000-fold increase in the amount of compute required, with a doubling-time trendline of 3.4 months.[110][111] Software Software suites containing a variety of machine learning algorithms include the following: Free and open-source so

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Privacy Policy introduction We understand the importance of personal information to you and will do our utmost to protect your personal information. We are committed to maintaining your trust in us and to abide by the following principles to protect your personal information: the principle of consistency of rights and responsibilities, the principle of purpose , choose the principle of consent, at least the principle of sufficient use, ensure the principle of security, the principle of subject participation, the principle of openness and transparency, and so on. At the same time, we promise that we will take appropriate security measures to protect your personal information according to the industry's mature security solutions. In view of this, we have formulated this "Private Privacy Policy" (hereinafter referred to as "this policy" /This Privacy Policy") and remind you: This policy applies to products or services on this platform. If the products or services provided by the platform are used in the products or services of our affiliates (for example, using the platform account directly) but there is no independent privacy policy, this policy also applies to the products or services. It is important to note that this policy does not apply to other third-party services provided by you, nor to products or services on this platform that have been independently set up with a privacy policy. Before using the products or services on this platform, please read and understand this policy carefully, and use the related products or services after confirming that you fully understand and agree. By using the products or services on this platform, you understand and agree to this policy. If you have any questions, comments or suggestions about the content of this policy, you can contact us through various contact methods provided by this platform. This privacy policy section will help you understand the following: How we collect and use your personal information How do we use cookies and similar technologies? How do we share, transfer, and publicly disclose your personal information? How we protect your personal information How do you manage your personal information? How do we deal with the personal information of minors? How your personal information is transferred globally How to update this privacy policy How to contact us 一、How we collect and use your personal information Personal information refers to various information recorded electronically or otherwise that can identify a specific natural person or reflect the activities of a particular natural person, either alone or in combination with other information. We collect and use your information for the purposes described in this policy. Personal information: （一）Help you become our user To create an account so that we can serve you, you will need to provide the following information: your nickname, avatar, gender, date of birth, mobile number/signal/QQ number, and create a username and password. During the registration process, if you provide the following additional information to supplement your personal information, it will help us to provide you with better service and experience: your real name, real ID information, hometown, emotional status, constellation, occupation, school Your real avatar. However, if you do not provide this information, it will not affect the basic functions of using the platform products or services. The above information provided by you will continue to authorize us during your use of the Service. When you voluntarily cancel your account, we will make it anonymous or delete your personal information as soon as possible in accordance with applicable laws and regulations. （二）Show and push goods or services for you In order to improve our products or services and provide you with personalized information search and transaction services, we will extract your browsing, search preferences, behavioral habits based on your browsing and search history, device information, location information, and transaction information. Features such as location information, indirect crowd portraits based on feature tags, and display and push information. If you do not want to accept commercials that we send to you, you can cancel them at any time through the product unsubscribe feature. （三）Provide goods or services to you 1、Information you provide to us Relevant personal information that you provide to us when registering for an account or using our services, such as phone numbers, emails, bank card numbers or Alipay accounts; The shared information that you provide to other parties through our services and the information that you store when you use our services. Before providing the platform with the aforementioned personal information of the other party, you need to ensure that you have obtained your authorization. 2、Information we collect during your use of the service In order to provide you with page display and search results that better suit your needs, understand product suitability, and identify account anomalies, we collect and correlate information about the services you use and how they are used, including: Device Information: We will receive and record information about the device you are using (such as device model, operating system version, device settings, unique device identifier, etc.) based on the specific permissions you have granted during software installation and use. Information about the location of the device (such as Idiv address, GdivS location, and Wi-Fi that can provide relevant information) Sensor information such as access points, Bluetooth and base stations. Since the services we provide are based on the mobile social services provided by the geographic location, you confirm that the successful registration of the "this platform" account is deemed to confirm the authorization to extract, disclose and use your geographic location information. . If you need to terminate your location information to other users, you can set it to be invisible at any time. Log information: When you use our website or the products or services provided by the client, we will automatically collect your detailed usage of our services as a related web log. For example, your search query content, Idiv address, browser type, telecom carrier, language used, date and time of access, and web page history you visit. Please note that separate device information, log information, etc. are information that does not identify a particular natural person. If we combine such non-personal information with other information to identify a particular natural person or use it in conjunction with personal information, such non-personal information will be treated as personal information during the combined use, except for your authorization. Or as otherwise provided by laws and regulations, we will anonymize and de-identify such personal information. When you contact us, we may save information such as your communication/call history and content or the contact information you left in order to contact you or help you solve the problem or to document the resolution and results of the problem. 3、Your personal information collected through indirect access You can use the products or services provided by our affiliates through the link of the platform provided by our platform account. In order to facilitate our one-stop service based on the linked accounts and facilitate your unified management, we will show you on this platform. Information or recommendations for information you are interested in, including information from live broadcasts and games. You can discover and use the above services through the homepage of the platform, "More" and other functions. When you use the above services through our products or services, you authorize us to receive, aggregate, and analyze from our affiliates based on actual business and cooperation needs, we confirm that their source is legal or that you authorize to consent to your personal information provided to us or Trading Information. If you refuse to provide the above information or refuse to authorize, you may not be able to use the corresponding products or services of our affiliates, or can not display relevant information, but does not affect the use of the platform to browse, chat, release dynamics and other core services. （四）Provide you with security Please note that in order to ensure the authenticity of the user's identity and provide you with better security, you can provide us with identification information such as identity card, military officer's card, passport, driver's license, social security card, residence permit, facial identification, and other biometric information. Personally sensitive information such as Sesame Credit and other real-name certifications. If you refuse to provide the above information, you may not be able to use services such as account management, live broadcast, and continuing risky transactions, but it will not affect your use of browsing, chat and other services. To improve the security of your services provided by us and our affiliates and partners, protect the personal and property of you or other users or the public from being compromised, and better prevent phishing websites, fraud, network vulnerabilities, computer viruses, cyber attacks , security risks such as network intrusion, more accurately identify violations of laws and regulations or the relevant rules of the platform, we may use or integrate your user information, transaction information, equipment information, related web logs and our affiliates, partners to obtain You authorize or rely on the information shared by law to comprehensively judge your account and transaction risks, conduct identity verification, detect and prevent security incidents, and take necessary records, audits, analysis, and disposal measures in accordance with the law. （五）Other uses When we use the information for other purposes not covered by this policy, or if the information collected for a specific purpose is used for other purposes, you will be asked for your prior consent. （六）Exception for authorization of consent According to relevant laws and regulations, collecting your personal information in the following situations does not require your authorized consent: 1、Related to national security and national defense security； 2、Related to public safety, public health, and major public interests； 3、Related to criminal investigation, prosecution, trial and execution of judgments, etc.； 4、It is difficult to obtain your own consent for the maintenance of the important legal rights of the personal information or other individuals’ lives and property； 5、The personal information collected is disclosed to the public by yourself; 二、How do we use cookies and similar technologies? （一）Cookies To ensure that your site is up and running, to give you an easier access experience, and to recommend content that may be of interest to you, we store a small data file called a cookie on your computer or mobile device. Cookies usually contain an identifier, a site name, and some numbers and characters. With cookies, websites can store data such as your preferences. （二）Website Beacons and Pixel Labels In addition to cookies, we use other technologies like web beacons and pixel tags on our website. For example, the email we send to you may contain an address link to the content of our website. If you click on the link, we will track the click to help us understand your product or service preferences so that we can proactively improve customer service. Experience. A web beacon is usually a transparent image that is embedded in a website or email. With the pixel tags in the email, we can tell if the email is open. If you don't want your event to be tracked this way, you can unsubscribe from our mailing list at any time. 三、How do we share, transfer, and publicly disclose your personal information? （一）shared We do not share your personal information with companies, organizations, and individuals other than the platform's service providers, with the following exceptions: 1、Sharing with explicit consent: We will share your personal information with others after obtaining your explicit consent. 2、Sharing under statutory circumstances: We may share your personal information in accordance with laws and regulations, litigation dispute resolution needs, or in accordance with the requirements of the administrative and judicial authorities. 3. Sharing with affiliates: In order to facilitate our services to you based on linked accounts, we recommend information that may be of interest to you or protect the personal property of affiliates or other users or the public of this platform from being infringed. Personal information may be shared with our affiliates. We will only share the necessary personal information (for example, to facilitate the use of our affiliated company products or services, we will share your necessary account information with affiliates) if we share your personal sensitive information or affiliate changes The use of personal information and the purpose of processing will be re-examined for your authorization. 4. Sharing with Authorized Partners: For the purposes stated in this Privacy Policy, some of our services will be provided by us and our authorized partners. We may share some of your personal information with our partners to provide better customer service and user experience. For example, arrange a partner to provide services. We will only share your personal information for legitimate, legitimate, necessary, specific, and specific purposes, and will only share the personal information necessary to provide the service. Our partners are not authorized to use shared personal information for other purposes unrelated to the product or service. Currently, our authorized partners include the following types: (2) Suppliers, service providers and other partners. We send information to suppliers, service providers and other partners who support our business, including providing technical infrastructure services, analyzing how our services are used, measuring the effectiveness of advertising and services, providing customer service, and facilitating payments. Or conduct academic research and investigations. (1) Authorized partners in advertising and analytics services. We will not use your personally identifiable information (information that identifies you, such as your name or email address, which can be used to contact you or identify you) and provide advertising and analytics services, unless you have your permission. Shared by partners. We will provide these partners with information about their advertising coverage and effectiveness, without providing your personally identifiable information, or we may aggregate this information so that it does not identify you personally. For example, we’ll only tell advertisers how effective their ads are when they agree to comply with our advertising guidelines, or how many people see their ads or install apps after seeing ads, or work with them. Partners provide statistical information that does not identify individuals (eg “male, 25-29 years old, in Beijing”) to help them understand their audience or customers. For companies, organizations and individuals with whom we share personal information, we will enter into strict data protection agreements with them to process individuals in accordance with our instructions, this Privacy Policy and any other relevant confidentiality and security measures. information. (2) Transfer We do not transfer your personal information to any company, organization or individual, except: Transfer with the express consent: After obtaining your explicit consent, we will transfer your personal information to other parties; 2, in the case of mergers, acquisitions or bankruptcy liquidation, or other circumstances involving mergers, acquisitions or bankruptcy liquidation, if it involves the transfer of personal information, we will require new companies and organizations that hold your personal information to continue to receive This policy is bound, otherwise we will ask the company, organization and individual to re-seek your consent. (3) Public disclosure We will only publicly disclose your personal information in the following circumstances: We may publicly disclose your personal information by obtaining your explicit consent or based on your active choice; 2, if we determine that you have violated laws and regulations or serious violations of the relevant rules of the platform, or to protect the personal safety of the platform and its affiliates users or the public from infringement, we may be based on laws and regulations or The relevant agreement rules of this platform disclose your personal information, including related violations, and the measures that the platform has taken against you, with your consent. (4) Exceptions for prior authorization of consent when sharing, transferring, and publicly disclosing personal information In the following situations, sharing, transferring, and publicly disclosing your personal information does not require prior authorization from you: Related to national security and national defense security; Related to public safety, public health, and major public interests; 3, related to criminal investigation, prosecution, trial and judgment execution; 4, in order to protect your or other individuals' life, property and other important legal rights but it is difficult to get my consent; Personal information that you disclose to the public on your own; Collect personal information from legally publicly disclosed information, such as legal news reports and government information disclosure. According to the law, sharing, transferring and de-identifying personal information, and ensuring that the data recipient cannot recover and re-identify the personal information subject, does not belong to the external sharing, transfer and public disclosure of personal information. The preservation and processing of the class data will not require additional notice and your consent. How do we protect your personal information? (1) We have taken reasonable and feasible security measures in accordance with the industry's general solutions to protect the security of personal information provided by you, and to prevent unauthorized access, public disclosure, use, modification, damage or loss of personal information. For example, SSL (Secure Socket) when exchanging data (such as credit card information) between your browser and the server Layer) protocol encryption protection; we use encryption technology to improve the security of personal information; we use a trusted protection mechanism to prevent personal information from being maliciously attacked; we will deploy access control mechanisms to ensure that only authorized personnel can access individuals Information; and we will conduct security and privacy protection training courses to enhance employees' awareness of the importance of protecting personal information. (2) We have advanced data security management system around the data life cycle, which enhances the security of the whole system from organizational construction, system design, personnel management, product technology and other aspects. (3) We will take reasonable and feasible measures and try our best to avoid collecting irrelevant personal information. We will only retain your personal information for the period of time required to achieve the purposes stated in this policy, unless the retention period is extended or permitted by law. (4) The Internet is not an absolutely secure environment. We strongly recommend that you do not use personal communication methods that are not recommended by this platform. You can connect and share with each other through our services. When you create communications, transactions, or sharing through our services, you can choose who you want to communicate, trade, or share as a third party who can see your trading content, contact information, exchange information, or share content. If you find that your personal information, especially your account or password, has been leaked, please contact our customer service immediately so that we can take appropriate measures according to your application. Please note that the information you voluntarily share or even share publicly when using our services may involve personal information of you or others or even sensitive personal information, such as when you post a news or choose to upload in public in group chats, circles, etc. A picture containing personal information. Please consider more carefully whether you share or even share information publicly when using our services. Please use complex passwords to help us keep your account secure. We will do our best to protect the security of any information you send us. At the same time, we will report the handling of personal information security incidents in accordance with the requirements of the regulatory authorities. V. How your personal information is transferred globally Personal information collected and generated by us during our operations in the People's Republic of China is stored in China, with the following exceptions: Laws and regulations have clear provisions; 2, get your explicit authorization; 3, you through the Internet for cross-border live broadcast / release dynamics and other personal initiatives. In response to the above, we will ensure that your personal information is adequately protected in accordance with this Privacy Policy.

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UX Designer As a Product Designer, you will be responsible for working closely with a cross-functional teams to build and launch new experiences and features that impact the way urban Indians meet and date with a special focus on building a trustable platform for women. You will collaborate with engineers, designers, researchers, and analysts during the entire product lifecycle. You'll also work closely with the co-founders and VPs of various functions. - The role demands great execution, bold innovation, obsession with quality, solving problems with creativity while keeping the user in mind and ambition to take projects to the finish line. - Our approach to design is completely based on insights coming from various sources, quantitative and qualitative both that include Analytics data, User Testing, Experiments run on product etc. This helps us maximize the potential of product to serve the users while minimizing absolute opinions. You should have the skills to work across the full spectrum of Design - UX, UI, Interaction, Prototyping, Testing and kick ass in those areas. Responsibilities: - Collaborate with stakeholders, team members, and clients in an agile, iterative user-centered design process to design features, write user stories and work with development teams to ensure correct implementation - Develop deep understanding of real-world customer needs and business goals unique to our clients, and collect valuable user feedback and insight to inform product decisions - Take ownership for the full stack UX-Design process for the product including wire-framing, prototyping, user research, and defining & following design systems. - Have a data driven approach to your designs and key milestone deliverables to peers and executive level stakeholders - Review product analytics to derive behavioral insights for adoption, growth and user engagement Qualifications : - 1-6 Years of experience in a comparable role (User Experience, UI Design) - Bachelor's degree in Interaction/ Interface/ Experience/ Visual/ Product design preferred. - Expertise in digital design tools (Sketch, Invision, etc) and well-versed in material design, pattern libraries, and design methodologies - Experience working with development teams in a wide variety of engagements, including concept development, prototyping, and productization. - Experienced in design for iOS, Android and Mobile Web Apps. - Ability to rapidly grow (or come up with) new ideas and create fabulous storyboards, mock-ups, and functional prototypes Skills : Research, User Experience (UX), User-centered Design, User Interface Design, Design, Usability Testing, User Stories, Productization, Storyboarding, Design Tools, Wireframing, Agile Methodologies Location : Gurgaon, India

Decentralized Finance & It's use cases- DeFi (Decentralized Finance) Another open-world approach to the current financial system. Products that allow you to borrow, save, invest, trade, and more. Based on open source technology anyone can plan with. DeFi is an open and global financial system that has been built for years - another way of being a sharp, tightly managed, and cohesive system of decades-old infrastructure and processes. It gives you more control and visibility than your money. It gives you exposure to global markets and other options for your local currency or banking options. DeFi products open financial services to anyone with an internet connection and are highly managed and maintained by their users. To date, tens of billions of dollars worth of crypto have gone through DeFi applications and is growing every day. What is DeFi? DeFi is an integrated name for financial products and services accessible to anyone who can use Ethereum - anyone with an Internet connection. With DeFi, markets remain open and no central authorities can block payments or deny you access to anything. Services that used to be slow and vulnerable to human error are now automated and secure as they are governed by a code that anyone can check and evaluate. There is a thriving crypto-economy out there, where you can borrow, borrow, length / short, earn interest, and more. Crypto-savvy Argentinians have used DeFi to escape inflation. Companies have begun distributing their pay to their employees in real-time. Some people even withdraw and repay loans worth millions of dollars without the need for personal information. DeFi vs Traditional Finance One of the best ways to see the power of DeFi is to understand the problems that exist today. Some people are not given access to setting up a bank account or using financial services. Lack of access to financial services can prevent people from being employed. Financial services can prevent you from paying. Hidden payment for financial services is your data. Governments and private institutions can close markets at will. Trading hours are usually limited to one-hour business hours. Transfers may take days due to personal processes. There is a premium for financial services because mediation institutions require their cutting. DeFi Use Cases DeFi has revolutionized the financial world over the past few years. This new approach to financial planning can transcend asset systems through efficiency and security. It is true that there are certain dangers in DeFi but those are within the concrete limits. Let's take a look at the most effective DeFi usage cases - Asset Management One of DeFi's biggest effects is that users can now enjoy more control over their assets. Many DeFi projects provide solutions that allow users to manage their assets, including - buying, selling, and transferring digital assets. Therefore, users can also earn interest on their digital assets. Contrary to the traditional financial system, DeFi allows users to maintain the privacy of their sensitive information. Think of the secret keys or passwords of your financial accounts - you should have shared that information with the appropriate organizations beforehand. Now, different DeFi projects, such as Metamask, Argent, or Gnosis Safe help users encrypt and store those pieces of information on their devices. This ensures that only users have access to their accounts and can manage their assets. Therefore, asset management is one of the most widely used financial services cases for users. Compliance with AML and CFT Rates through the KYT Mechanism Traditional financial systems focus heavily on Know-Your-Customer (KYC) agreements. KYC Guidelines are its major law enforcement tool for using Anti-Money Laundering (AML) and Countering-the-Financing-of-Terrorism (CFT) standards. However, KYC guidelines often conflict with DeFi's privacy efforts. DeFi responds to this problem with a new concept called the Know-Your-Transaction (KYT) mechanism. This approach suggests that low-level infrastructure will focus on ethical behavior for digital addresses rather than user considerations. Therefore, KYT solves two issues simultaneously - monitoring real-time operations and ensuring user privacy. This makes KYT one of the biggest gaps in low-cost cases. Non-Governmental Organizations or DAOs The DAOs are partners of the central financial institutions of DeFi - making it one of the pillars of low-income finance cases. In the traditional system, central financial institutions play a major role. These organizations operate as administrative institutions that regulate basic financial operations, such as monetization, asset management, administrative utilization, etc. The Ethereum blockchain echerestem has introduced empowered organizations to achieve the same goals. However, DAOs are naturally empowered and do not conform to the limits set by central governments or authorities. Analysis and Risk Tools Transparency and redistribution of world power have opened the way for the discovery and analysis of unprecedented user data. With access to this information, users can make informed business decisions, discover new financial opportunities, and implement better risk management strategies. A new type of data analytics with useful blockchain tools and dashboards has emerged in this industry trend. DeFi projects such as DeFi Pulse or CoDeFi Data bring an impressive amount of analytics and risk management tool. Now, businesses are moving faster as they enjoy unpredictable competitive advantages. This is certainly one of the most widely used financial cases. Receivables and Manufacturing Goods Smart contracts allow for the receipt of token receipts and have become one of the most distinctive scenarios for DeFi use. Making a token further means setting a contract value based on the underlying financial asset or set of assets. This underlying financial asset acts as a security measure, which means it can include - bonds, fiat currencies, commodities, market indicators, interest rates, or stock prices. Now, the issuance of outgoing tokens is a secondary security and their value varies with the number of key securities (bonds or fiat money). Thus, the output actually creates artificial goods. Synthetix and dYdX are some of the leading DeFi projects focused on token acquisitions. Network Infrastructure Effect In a DeFi ecosystem, objects within the system can connect and interact. This design feature is known as integration and serves as a protocol for infrastructure development. As a result, DeFi projects are continuously integrated with the network result. Infrastructure tools for use of DeFi applications are remarkable. Various DeFi projects, such as TruffleSuite or InfuraAPI, are good examples in this case. Enhanced Digital ID Blockchain-based identity system systems are already gaining a lot of attention in recent times. Pairing DeFi programs with these patent systems can help people access the global economic system. The traditional method rewards personal income or assets collected as credit providers. With digital identity paired with DeFi, you may be looking for other practical attributes, such as - financial services or professional ability. This new type of digital ID can help the poor to access DeFi apps from any internet connection. It can certainly be one of the cases of possible use. Insurance Insurance is one of the largest financial institutions and has already been proven to be one of the biggest charges for using DeFi. The current insurance system is crowded with paperwork, old audit plans, and bureaucratic insurance claim processes. With the successful implementation of smart contracts, all these problems with the current system can be solved. Many DeFi projects (Nexus Mutual, Opyn, and VouchForMe) provide blockchain access to insurance against DeFi or contract risk. P2P borrowing and borrowing As DeFi bids farewell to traditional banking systems, a space for the lending and lending market has emerged. Therefore, borrowing and lending is one of the most important aspects of using DeFi. However, the DeFi ecosystem is well suited for peer-to-peer (P2P) borrowing and lending efforts. Many DeFi projects have already entered the market focusing on this particular application case. Among these programs, Compound and PoolTogether are two well-known names. These projects have independent policies for lending and lending. Payment Solutions One of DeFi's top drivers was serving non-bankers or understated banks from the get-go. DeFi's natural features make it ideal for solving the problems of current global payment systems. DeFi provides fast, secure, and transparent solutions compared to asset systems. As DeFi lowers the demand for intermediaries, making payments easier and more transparent, DeFi-based blockchain-based payment solutions can appeal to non-bankers.

This project involves segmenting customers using k-means clustering in Jupyter Notebook. Customer segmentation is a powerful technique used in marketing and business analytics to divide customers into distinct groups based on their behaviors, preferences, or demographics.

Explore the power of data analysis with this Sales Dashboard project! Gain insights into sales trends, customer behavior, and profitability using Excel. Follow along to dive deep into the world of data analytics!

Built an interactive ride booking analytics dashboard using Power BI to analyze booking trends, ride performance, and customer behavior from an Ola dataset.

Present a reference implementation for a business application linking cognitive and analytics to learn customer's behavior and assess customer risk to churn. It is based on structured data, machine learning algorithm, data movement, and cognitive services for classifying unstructured data.

I explored a sales dataset and generated various analytics and insights from customers' past purchase behavior. I used SQL to analyze sales revenue and create a customer segmentation analysis using the RFM technique.

Mall Customers Clustering Project Unleash the power of K-means clustering to decode mall customer behavior! From data exploration to 3D visualizations, we navigate through demographics and spending patterns. Join our journey into customer segmentation for strategic insights. Let's redefine retail analytics! 🛍️📈

This repository includes various data-driven methodologies to understand customer behavior and how machine learning models can be used to solve real-world problems and answer business questions. It includes projects which includes processing and storing large scale multi-dimensional datasets, implementation of various machine learning models and Fast API's, building reference applications on Streamlit/Flask and designing analytical dashboards to solve business problems.

Betting is illegal in India but skilled betting apps like dream11 and betway are currently legal because there’s skilled required to win rather than just the chance or luck. Premier League is a football league which is the biggest sporting league in the world. Machine learning is a subset of artificial intelligence (AI) in which algorithms learn by example from historical data to predict outcomes and uncover patterns that are not easily spotted by humans. Machine learning evolved from the study of pattern recognition and explores the notion that algorithms can learn from and make predictions on data. And, as they begin to become more ‘intelligent’, these algorithms can overcome program instructions to make highly accurate, data-driven decisions. Predictive analytics encompasses a variety of statistical techniques (including machine learning, predictive modelling and data mining) and uses statistics (both historical and current) to estimate, or ‘predict’, future outcomes. These outcomes might be behaviors of a customer likely to exhibit or possible changes in the market, for example. Predictive analytics help us to understand possible future occurrences by analyzing the past. In this project it’s intended to combine machine learning algorithm with predictive analytics to predict the premier league football table at the end of the season.

Food Order and Delivery Solution offers a well-designed and powerful application to help customers to make an online food order at any time where the restaurant owner will get online food orders to grow up business. Partnering with the best food ordering and delivery app development company will let you reach a tech-savvy consumer-base, serve local and beyond with a reasonable upfront cost. Our experienced food delivery app developers will help you balance consumer preferences with your needs and develop a food delivery app that marks your presence in the food delivery business scenario. • Enhanced Efficiency • Increase in Sales • Positive Customer Service • Access to Powerful Database • Expand Market Reach The Business Model That Ensures A Smooth And Consistent Growth Real-Time Tracking Track and handle deliveries seamlessly with real-time location tracking of the food/grocery orders. Multiple Payment Option Secure payment options to make it simpler for customers to choose from and pay for online food delivery. Intuitive Experience Easy search, interactive product display, indulgent browsing experience to increase time on the app. Seamless Online Ordering/Delivery Food delivery mobile app development to empower order placement/delivery tracking with just a few taps. Advanced Analytics Identify customer behavior, oversee daily orders, monitor dispatches, and deliveries with powerful analytics. User-Friendly Interface With the upfront placement of features, smooth user flow, and engaging graphics, the user interface is a complete treat for the customers. How You Are Benefited With Our Online Ordering Software? Source Code MartPro provides you the application with complete source code. One-Time Payment The application is a one-time payment. No subscriptions or recurring fees. Customization You can get the application customized to your business needs. Complete Support We provide you complete support after that project launch. Fully Responsive Our application is highly responsive, compatible on both web & mobile. RTL Features MartPro supports multiple languages including RTL features. Custom Payment Gateway You can add an extra payment gateway according to your choice. Seamless Integration Our application can be seamlessly integrated to existing your system Take Control Of Your Online Food Ordering And Delivery System Go beyond the limits, combine the process of managing and tracking food orders to reduce the cost of your business operation. Integrate Anything Just come with an idea! Our team will help you integrate POS, billing software or any 3rd party applications. Manage From Anywhere Easy to track, manage food orders and delivery through web and mobile applications seamlessly. Your Own System Get your own white labelled, open-source food ordering software and personalize the way you want. Dedicated Support We delight our customers with dedicated support. Feel free to ask your questions to our sales team. Conclusion: For more details, Pls visit our website: https://www.martpro.net/online-food-ordering-and-delivery

DIGITAL MARKETING BY SARA ATIQ INTRODUCTION “It is a marketing technique that involves usage of digital mediums such as internet & wireless for creating awareness, consideration, purchase & loyalty for a brand product or a service". It is the term used to describe any marketing efforts that place on the internet or a digital device. It has different channels that enable the business to entice their customer into buying their product & services. Philip Kotler is considered the father of digital marketing who is the author of 60 marketing books and provides us important lessons that can be applied to our digital strategy. Before digital marketing, we have Traditional marketing, which is a conventional mode of marketing that helps to reach out to the semi-targeted audience with various offline advertising & promotion modes. CONSTITUENT OF DIGITAL MARKETING TRAFFIC ACQUISITION CHANNELS SEARCH ENGINE MARKETING(SEM): It is a form of internet marketing that involves the promotion of websites by increasing their visibility in search engine result pages (SERP) primarily through paid advertising. SEM may incorporate search engine optimization (SEO), which adjusts or rewrites website content and site architecture to achieve a higher ranking in search engine result pages to enhance pay per click. SOCIAL MEDIA MARKETING: Social media marketing involves the use of social media platforms to connect with the audience to build your brand, increase sales & drive website traffic. It also allows to publish great content on social media platforms & run social media advertisements. Major social media platforms are Facebook, Instagram, Twitter, LinkedIn, Pinterest, YouTube, and Snapchat. EMAIL MARKETING: It is an act of sending a commercial message particularly to a group of people, using email. It involves using emails to send advertisements, request business, or sales, or donations. It usually refers to sending email to enhance a merchant's relationship with a current or previous customer, encouraging customer loyalty, acquiring new customers, or convincing new customers to purchase something immediately. DISPLAY ADVERTISING: It is an online form of advertising in which a company's Ads appear on third-party sites or appear on the search engine result page such as publishers or social networks. This advertisement can increase the website page view of a company from most types of customers except the non-unauthenticated visitor who visits the site before. The main purpose of display advertising is to support brand awareness and it also helps to increase the purchase, intention of the consumers. AFFILIATE MARKETING: It is a type of performance-based marketing in which a business reward one or more affiliates for each visitor or customer brought by the affiliate's marketing efforts. The internet has increased the prominence of affiliate marketing. Amazon popularized the practice by creating the affiliate marketing program whereby the website and bloggers put the link to the Amazon page for a reviewed product to receive an advertising fee when a purchase is made. So, it is essentially a pay-for-performance marketing program where the act of selling is outsourced across a vast network. SUPPORTING CHANNELS MOBILE MARKETING: Mobile marketing is a multi-channel, digital marketing strategy aimed at reaching a target audience on their smartphones, tablets, or other mobile devices via websites, email, social media, and Apps. Mobile marketing is an important piece of the puzzle when it comes to building out any short-term or long-term marketing plan. From email to pay per click (PPC), search engine optimization (SEO)content marketing, and social media marketing, there is a mobile marketing channel to reach every part of your audience where they are most comfortable. mobile marketing can do wonders to drive brand value. WEBSITE: Website is the must-have tool for your business as it provides you with a dedicated platform where you can educate your audience about your brands, products, and services. This requires a solid understanding of your target audience and an effective content marketing strategy. Your website is an ideal channel for your content marketing campaigns. Through blogs, posts, and announcements you can provide existing and potential customers with valuable and relevant content to help them solve their pain points. Because websites have multimedia capabilities you can easily distribute different types of content in the form of articles, infographics, and even videos. If your website will have high-quality relevant and insightful content then your website will have increased organic traffic. WEB ANALYTICS: Web analytics is the measurement, collection, analysis, and reporting of internet data for understanding and optimizing web usage. The focus of web analytics is to understand the users of a site, their behavior, and their activities. The study of online user behavior and activities generate valuable marketing intelligence and provide - Performance measures of the website against the target. Insight on user behaviors and needs, and how the sight meets those needs. Optimization ability to make modifications to improve the website based on the result. Web analytics tools offer hundreds of metrics. all of them are interesting but only a few would be useful for measuring website performance. PROCESS FRAMEWORK OF DIGITAL MARKETING The framework of digital marketing is based on the 4 main objectives of digital marketing. 1.awareness 3. purchase 2.consideration 4. loyalty Loyalty Buyer -> loyal customer Purchase Interested -> buyer Awareness Unaware -> aware Consideration Aware -> interested

Marketing Analytics and Customer Behavior Modeling

A telecommunications company wants to reduce customer churn by identifying customers at risk of leaving. They have historical data on customer behavior and want to build to predict which customers are most likely to churn.

Understand customer behavior using digital analytics in engagement insights, a capability of Dynamics 365 Customer Insights

This comprehensive financial dataset combines transaction records, customer information, and card data from a banking institution, spanning across the 2010s decade. The dataset is designed for multiple analytical purposes, including synthetic fraud detection, customer behavior analysis, and expense forecasting.

📊 Data analytics project exploring patterns in return behavior across e-commerce transactions. Includes visual insights, customer segmentation, and actionable trends.

Explore the E-commerce Customer Segmentation Analysis project! Dive into data analytics with an e-commerce dataset, aiming to understand customer behavior, identify segments, and glean insights for targeted marketing. This repository covers data cleaning, statistics, clustering, and visualization, offering a hands-on journey into data analytics. 🚀

🎯 AI-powered behavioral analytics that predicts customer defaults 30 days in advance with 85% recall. Production-ready ML system with real-time dashboard, REST API, and deployed on AWS.

A comprehensive marketing analytics project integrating SQL, Python, and Power BI to analyze customer behavior, campaign performance, and sales data. The project covers data extraction, transformation, and visualization to generate actionable business insights.

As a Data Analyst Intern at Unified Mentor Pvt Ltd 🏢, I focused on the e-commerce 🛒 and hospitality 🏨 sectors, optimizing product strategy 📈 and analyzing customer behavior 🕵️‍♂️ to drive revenue growth 💰. This role honed my analytical skills and enabled me to contribute valuable insights for data-driven decision-making 🧠🔍.

The Food Delivery Performance Analytics Dashboard is a comprehensive Power BI solution designed to analyze end-to-end food delivery operations. It provides insights into customer behavior, order trends, revenue performance, delivery efficiency, meal periods & partner contributions.

Hands-on SQL data analysis project for music store. Enhance proficiency with database queries. Ideal for practitioners seeking real-world analytics experience. Gain insights into customer behavior, revenue trends, and genre preferences, empowering strategic decision-making in the music industry. Explore the project for a rich learning experience.

"DiggDigital is No.1 Digital Marketing Company/Agency in Bangalore providing end to end SEO and Digital Marketing Services in Bangalore. As a Digital Marketing Company/Agency in Bangalore we provide WEB and Ecommerce solutions. Web design company in hubli, web development company in hubli and seo company in hubli. Digital Marketing Company in Bangalore, web design company in bangalore, web development company in bangalore and seo company in bangalore". As a Creative WEB, Ecommerce & Digital Marketing Company/Agency in Bangalore, we support our customers by Design & Development of Website, Ecommerce & Mobile Apps, and Digital marketing strategies using SEO, SEO, SMM, PPC and Email marketing techniquies to guarantee their quality, innovation and ROI. OUR SERVICES 1. Design Logo, Banner, Landing page, Email Template. 2. Branding Branding differentiate your product or service from the competitors, and makes consumers remember your product or service. Boost your sales by incorporating our business branding tips and techniques from our experts. 3. Web Design Is your current website preventing you from meeting your online marketing goals? DiggDigital provides support and development services to Redesign your website. Whether you desire increased functionality or a more sophisticated look, you need an outstanding web design company to guide you in obtaining exceptional results. 4. E- Commerce In this age of online shopping world, old school sales model does not yield much business. Customers are going on easy shopping ways by ecommerce. Act now and have an ecommerce website for your business. DiggDigital experts will work with you to create an e-commerce website that is most suited to your business needs and make sure that your e-commerce website is built with a rigorous business strategy and advanced technologies. Every aspect of our efforts is to develop an extraordinary website to bring high web traffic and sales to each and every product in your store to maximize your conversion ratio. 5. Social Community Are you seeking unique methods for fostering stronger relationships with your customers? Would you like to build customer loyalty and increase online interaction with your brand? If customer engagement is your goal, an online social community (Forum) can help you. 6. Search Engine Optimization In addition to our results based program, our SEO company in Bangalore offers SEO consulting and website promotion services as a month to month program. No long term commitments or trials. We're working with small, medium-sized, and large businesses right now, helping them improve their rankings and delivering them real, measurable results. 7. Social Media Marketing DiggDigital Social Media programs usually centers on creating content that attracts attention and encourages readers to share that content on a social networks. When this message spread from user to user, it creates an impact because it appears to come from a trusted, third party, as opposed to brand or company itself. And also it allows customers to interact with company. This interaction feels more personal to users than traditional methods and helps build relationship with company. 8. Advertising Advertising with search engines place an advertising copy of you ad at the top or bottom of search, or beside, the list of results Google displays for a particular search query. AdWords can bring you visitors who will buy from you. If you have targeted your keywords; then the chances these visitors will convert to buyers are higher. 9. E-mail Marketing With DiggDigital Professionals, the innovative and proven email marketing solution we help companies and agencies worldwide integrate e-mail marketing to technologically highest level. Whether the SmartTemplates, the extensive interfaces to CMS, CRM, e-commerce and web analytics tools, our solution for professional transactional emails with DiggDigital you have unlimited options for individual email marketing open. 10. Content Marketing Our purpose of content marketing is to attract and retain customers by consistently creating and curating relevant and valuable content with the intention of changing or enhancing consumer behaviors and most importantly to have your web space shielded.