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MIT Introduction to Deep Learning (6.S191) Instructors: Alexander Amini and Ava Soleimany Course Information Summary Prerequisites Schedule Lectures Labs, Final Projects, Grading, and Prizes Software labs Gather.Town lab + Office Hour sessions Final project Paper Review Project Proposal Presentation Project Proposal Grading Rubric Past Project Proposal Ideas Awards + Categories Important Links and Emails Course Information Summary MIT's introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow. Course concludes with a project proposal competition with feedback from staff and a panel of industry sponsors. Prerequisites We expect basic knowledge of calculus (e.g., taking derivatives), linear algebra (e.g., matrix multiplication), and probability (e.g., Bayes theorem) -- we'll try to explain everything else along the way! Experience in Python is helpful but not necessary. This class is taught during MIT's IAP term by current MIT PhD researchers. Listeners are welcome! Schedule Monday Jan 18, 2021 Lecture: Introduction to Deep Learning and NNs Lab: Lab 1A Tensorflow and building NNs from scratch Tuesday Jan 19, 2021 Lecture: Deep Sequence Modelling Lab: Lab 1B Music Generation using RNNs Wednesday Jan 20, 2021 Lecture: Deep Computer Vision Lab: Lab 2A Image classification and detection Thursday Jan 21, 2021 Lecture: Deep Generative Modelling Lab: Lab 2B Debiasing facial recognition systems Friday Jan 22, 2021 Lecture: Deep Reinforcement Learning Lab: Lab 3 pixel-to-control planning Monday Jan 25, 2021 Lecture: Limitations and New Frontiers Lab: Lab 3 continued Tuesday Jan 26, 2021 Lecture (part 1): Evidential Deep Learning Lecture (part 2): Bias and Fairness Lab: Work on final assignments Lab competition entries due at 11:59pm ET on Canvas! Lab 1, Lab 2, and Lab 3 Wednesday Jan 27, 2021 Lecture (part 1): Nigel Duffy, Ernst & Young Lecture (part 2): Kate Saenko, Boston University and MIT-IBM Watson AI Lab Lab: Work on final assignments Assignments due: Sign up for Final Project Competition Thursday Jan 28, 2021 Lecture (part 1): Sanja Fidler, U. Toronto, Vector Institute, and NVIDIA Lecture (part 2): Katherine Chou, Google Lab: Work on final assignments Assignments due: 1 page paper review (if applicable) Friday Jan 29, 2021 Lecture: Student project pitch competition Lab: Awards ceremony and prize giveaway Assignments due: Project proposals (if applicable) Lectures Lectures will be held starting at 1:00pm ET from Jan 18 - Jan 29 2021, Monday through Friday, virtually through Zoom. Current MIT students, faculty, postdocs, researchers, staff, etc. will be able to access the lectures during this two week period, synchronously or asynchronously, via the MIT Canvas course webpage (MIT internal only). Lecture recordings will be uploaded to the Canvas as soon as possible; students are not required to attend any lectures synchronously. Please see the Canvas for details on Zoom links. The public edition of the course will only be made available after completion of the MIT course. Labs, Final Projects, Grading, and Prizes Course will be graded during MIT IAP for 6 units under P/D/F grading. Receiving a passing grade requires completion of each software lab project (through honor code, with submission required to enter lab competitions), a final project proposal/presentation or written review of a deep learning paper (submission required), and attendance/lecture viewing (through honor code). Submission of a written report or presentation of a project proposal will ensure a passing grade. MIT students will be eligible for prizes and awards as part of the class competitions. There will be two parts to the competitions: (1) software labs and (2) final projects. More information is provided below. Winners will be announced on the last day of class, with thousands of dollars of prizes being given away! Software labs There are three TensorFlow software lab exercises for the course, designed as iPython notebooks hosted in Google Colab. Software labs can be found on GitHub: https://github.com/aamini/introtodeeplearning. These are self-paced exercises and are designed to help you gain practical experience implementing neural networks in TensorFlow. For registered MIT students, submission of lab materials is not necessary to get credit for the course or to pass the course. At the end of each software lab there will be task-associated materials to submit (along with instructions) for entry into the competitions, open to MIT students and affiliates during the IAP offering. This includes MIT students/affiliates who are taking the class as listeners -- you are eligible! These instructions are provided at the end of each of the labs. Completing these tasks and submitting your materials to Canvas will enter you into a per-lab competition. MIT students and affiliates will be eligible for prizes during the IAP offering; at the end of the course, prize-winners will be awarded with their prizes. All competition submissions are due on January 26 at 11:59pm ET to Canvas. For the software lab competitions, submissions will be judged on the basis of the following criteria: Strength and quality of final results (lab dependent) Soundness of implementation and approach Thoroughness and quality of provided descriptions and figures Gather.Town lab + Office Hour sessions After each day’s lecture, there will be open Office Hours in the class GatherTown, up until 3pm ET. An MIT email is required to log in and join the GatherTown. During these sessions, there will not be a walk through or dictation of the labs; the labs are designed to be self-paced and to be worked on on your own time. The GatherTown sessions will be hosted by course staff and are held so you can: Ask questions on course lectures, labs, logistics, project, or anything else; Work on the labs in the presence of classmates/TAs/instructors; Meet classmates to find groups for the final project; Group work time for the final project; Bring the class community together. Final project To satisfy the final project requirement for this course, students will have two options: (1) write a 1 page paper review (single-spaced) on a recent deep learning paper of your choice or (2) participate and present in the project proposal pitch competition. The 1 page paper review option is straightforward, we propose some papers within this document to help you get started, and you can satisfy a passing grade with this option -- you will not be eligible for the grand prizes. On the other hand, participation in the project proposal pitch competition will equivalently satisfy your course requirements but additionally make you eligible for the grand prizes. See the section below for more details and requirements for each of these options. Paper Review Students may satisfy the final project requirement by reading and reviewing a recent deep learning paper of their choosing. In the written review, students should provide both: 1) a description of the problem, technical approach, and results of the paper; 2) critical analysis and exposition of the limitations of the work and opportunities for future work. Reviews should be submitted on Canvas by Thursday Jan 28, 2021, 11:59:59pm Eastern Time (ET). Just a few paper options to consider... https://papers.nips.cc/paper/2017/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf https://papers.nips.cc/paper/2018/file/69386f6bb1dfed68692a24c8686939b9-Paper.pdf https://papers.nips.cc/paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf https://science.sciencemag.org/content/362/6419/1140 https://papers.nips.cc/paper/2018/file/0e64a7b00c83e3d22ce6b3acf2c582b6-Paper.pdf https://arxiv.org/pdf/1906.11829.pdf https://www.nature.com/articles/s42256-020-00237-3 https://pubmed.ncbi.nlm.nih.gov/32084340/ Project Proposal Presentation Keyword: proposal This is a 2 week course so we do not require results or working implementations! However, to win the top prizes, nice, clear results and implementations will demonstrate feasibility of your proposal which is something we look for! Logistics -- please read! You must sign up to present before 11:59:59pm Eastern Time (ET) on Wednesday Jan 27, 2021 Slides must be in a Google Slide before 11:59:59pm Eastern Time (ET) on Thursday Jan 28, 2021 Project groups can be between 1 and 5 people Listeners welcome To be eligible for a prize you must have at least 1 registered MIT student in your group Each participant will only be allowed to be in one group and present one project pitch Synchronous attendance on 1/29/21 is required to make the project pitch! 3 min presentation on your idea (we will be very strict with the time limits) Prizes! (see below) Sign up to Present here: by 11:59pm ET on Wednesday Jan 27 Once you sign up, make your slide in the following Google Slides; submit by midnight on Thursday Jan 28. Please specify the project group # on your slides!!! Things to Consider This doesn’t have to be a new deep learning method. It can just be an interesting application that you apply some existing deep learning method to. What problem are you solving? Are there use cases/applications? Why do you think deep learning methods might be suited to this task? How have people done it before? Is it a new task? If so, what are similar tasks that people have worked on? In what aspects have they succeeded or failed? What is your method of solving this problem? What type of model + architecture would you use? Why? What is the data for this task? Do you need to make a dataset or is there one publicly available? What are the characteristics of the data? Is it sparse, messy, imbalanced? How would you deal with that? Project Proposal Grading Rubric Project proposals will be evaluated by a panel of judges on the basis of the following three criteria: 1) novelty and impact; 2) technical soundness, feasibility, and organization, including quality of any presented results; 3) clarity and presentation. Each judge will award a score from 1 (lowest) to 5 (highest) for each of the criteria; the average score from each judge across these criteria will then be averaged with that of the other judges to provide the final score. The proposals with the highest final scores will be selected for prizes. Here are the guidelines for the criteria: Novelty and impact: encompasses the potential impact of the project idea, its novelty with respect to existing approaches. Why does the proposed work matter? What problem(s) does it solve? Why are these problems important? Technical soundness, feasibility, and organization: encompasses all technical aspects of the proposal. Do the proposed methodology and architecture make sense? Is the architecture the best suited for the proposed problem? Is deep learning the best approach for the problem? How realistic is it to implement the idea? Was there any implementation of the method? If results and data are presented, we will evaluate the strength of the results/data. Clarity and presentation: encompasses the delivery and quality of the presentation itself. Is the talk well organized? Are the slides aesthetically compelling? Is there a clear, well-delivered narrative? Are the problem and proposed method clearly presented? Past Project Proposal Ideas Recipe Generation with RNNs Can we compress videos with CNN + RNN? Music Generation with RNNs Style Transfer Applied to X GAN’s on a new modality Summarizing text/news articles Combining news articles about similar events Code or spec generation Multimodal speech → handwriting Generate handwriting based on keywords (i.e. cursive, slanted, neat) Predicting stock market trends Show language learners articles or videos at their level Transfer of writing style Chemical Synthesis with Recurrent Neural networks Transfer learning to learn something in a domain for which it’s hard or risky to gather data or do training RNNs to model some type of time series data Computer vision to coach sports players Computer vision system for safety brakes or warnings Use IBM Watson API to get the sentiment of your Facebook newsfeed Deep learning webcam to give wifi-access to friends or improve video chat in some way Domain-specific chatbot to help you perform a specific task Detect whether a signature is fraudulent Awards + Categories Final Project Awards: 1x NVIDIA RTX 3080 4x Google Home Max 3x Display Monitors Software Lab Awards: Bose headphones (Lab 1) Display monitor (Lab 2) Bebop drone (Lab 3) Important Links and Emails Course website: http://introtodeeplearning.com Course staff: introtodeeplearning-staff@mit.edu Piazza forum (MIT only): https://piazza.com/mit/spring2021/6s191 Canvas (MIT only): https://canvas.mit.edu/courses/8291 Software lab repository: https://github.com/aamini/introtodeeplearning Lab/office hour sessions (MIT only): https://gather.town/app/56toTnlBrsKCyFgj/MITDeepLearning

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🌳🗣Presentation for conference talk "The AST and Me", complete with full transparency of talk progress and feedback from listeners/friends/colleagues (see issues).

Interactive polling and presentation software for real-time audience engagement and feedback. Built with Django and Vanilla JavaScript.

A custom business card shaped wireless macropad featuring three switches, a rotary encoder, and RGB LED feedback. The macropad is designed for productivity workflows, media control, and presentation control.

SpeakEZ, a way to practice your presentations and get real time feedback

Presentation Feedback Collation

Get real-time feedback for Slidev Presentations

The AhemPreventor is a system that detects filler words in oral presentations through a neural network. It discretely gives presenters tactile feedback whenever they use a filler word. Presenters may use this system to train themselves to use fewer filler words in presentations subconsciously.

TITLE: SU(PE)RREAL Director: Li-Qun Zhao SuperReal is about the manipulation of the mass information in the Big Data Era. Due to the development of multi-media technologies, everyone has submerged in the data ocean. Data could be generated by anything surround us. Instead of generating forms and effects, the key of SuperReal is, how we can parameterize the information mapping, regardless visible or invisible, with visual communication. Various multi-media tools will be used in data collection, processing and presentation. The workshop will start with exercises of data mapping and visualization through parametric modelling tools. Surreal emerges when we represent and reproduce the SuperReal data with multi-media medium, which promotes more interactive response between clients and users. We understand the representation of SuperReal is the project itself, meaning iterative feedback from statistical database to inspirational presentations will generate the design concepts. In this workshop, we will borrow the techniques and knowledge for film, animation and game industries, to produce the super-real surreal architecture in-between the virtual and the real space. The context of our workshop will be based on the imagination of how people would use the Galaxy Soho in Beijing in 50 years from now on. As we know, the Galaxy Soho is a new icon among those most recognizable icons in the capital of China. All the icons are designed to play against the human scale as the way to respect humans. The application of the SuperReal & Surreal through multi-media tools is how to re-occupying the macro anti/pro-human iconic buildings with micro events in human scale inspired by the data mapping outputs that we produced in the early stage. Some of the most prominent features, which the participants will be exposed to during AAVS Beijinginclude: • Teaching team: AAVS Beijing tutors are selected from recent graduates / current tutors at the AA. Participants engage in an active learning environment where the large tutor to student ratio (5:1) allows for personalized tutorials and debates. • Facilities: AAVS Beijing is based on Tsinghua University, which offers laser cutting, CNC milling, and 3d printing facilities. • Computational skills: The toolset of AAVS Beijing includes the most advanced computational design tools, such as Rhinoceros, Maya, Digital Project, Processing, Arduino, and Grasshopper. According to the agenda of this year, it is also include InformationMapping and Multi-Media representation tools. • Theoretical understanding: The dissemination of fundamental design techniques and relevant critical thinking methodologies to the participants through theoretical sessions and seminars forms one of the major goals of AAVS Beijing. • Professional awareness: AAVS Beijing performs as a simulation of the professional environment due the priority given to team-based design approach. Participants ranging from 2nd year students to PhD candidates and full-time professionals experience a highly focused collaborative educational model, which promotes research-based design and making. • Fabrication: According to the specific agenda of each year, form node model to a one-to-one scale prototype could be fabricated and assembled by design teams. • Lecture series: Based on its unique location, Beijing, AAVS Beijing creates a vibrant atmosphere with its intense lecture programme conveying the diverse expertise of professionals from some of the world’s exciting practices in the areas of urbanization，regional and computational architecture design.

"piine" is a web app that provides real-time feedback during your presentation.

MarkWatch - A beautiful analog stopwatch timer for timed presentations with color-coded visual feedback

This repository contains a project to analyze customer feedback data for British Airways (BA) and uncover insights about the airline. It includes code, data, and documentation for data scraping and preparation, data analysis, and presentation of results and recommendations.

Presentation Feedback Tool - get feedback on your presentations

Code responsible for the presentation and analysis of feedback perturbation experiments.

CubicVR.js WebGL presentation kit with advanced 3D model display and feedback support.

Monitoring instant feedback on presentation slides. Emoticons or bar charts visualize audience response to the current lecture pace. A badge counter on an envelope icon indicates the number of questions brought up by students during the lecture or discussions. The feedback monitor (200 x 200 pixel) can be placed in any corner of the projection.

ProVid Insight shares a journey of refining presentation skills through guided practice and constructive feedback, fostering confidence in both social and professional settings.

An interactive web platform designed for developers to showcase their work and receive constructive, crowdsourced feedback. By bridging the gap between portfolio creation and professional critique, this tool helps developers refine their personal branding, UI/UX choices, and project presentations before hitting the job market.

This document describes the team work assignment for Telerik Academy students studying Object-Oriented Programming (OOP) – February 2014. Project Description Design and implement an object-oriented Role Playing Game by choice. Here are some suggestions: - The world can be fantasy, sci-fi, modern, etc. - You may have one or more heroes, gaining experience, having skills, wearing items, etc. - You may have one or more players, fighting against a computer or against each other - You may have enemies like creatures, machines, warriors, etc. - You may have items like swords, guns, armor, space-suits, etc. - You may have skills like double-damage, teleportation, etc. General Requirements Please define and implement the following object-oriented assets in your project: • At least 5 interfaces (with one or more implementations) • At least 15 classes (implementing the application logic) • At least 3 abstract class (with inheritors) • At least 1 exception class (with usage in your code) • At least 3 levels of depth in inheritance • At least 1 polymorphism usage • At least 1 structure • At least 1 enumeration • At least 1 event (with subscribers) • At least 1 design pattern (e.g. Composite, Singleton, Factory, Wrapper, Bridge, Command, Iterator, …) You might read about design patterns in Wikipedia, Sourcemaking, DoFactory and others. Additional Requirements • Follow the best practices for OO design: use data encapsulation, use exception handling properly, use delegates and events like it is recommended in MSDN, use inheritance, abstraction and polymorphism properly, follow the principles of strong cohesion and loose coupling. • Obligatory use Git to keep your source code and for team collaboration (you might use https://github.com/). TFS or SVN are not allowed. Use Git. • Provide a class diagram (to visualize all types). Optional Requirements If you have a chance, time and a suitable situation, you might add some of the following to your project: • Static members (fields, properties, constructor, etc.) • Constants, generic types, indexers, operators • Lambda expressions and LINQ • Implementation of IEnumerable<T>, ICloneable, ToString() override • Namespaces (if your classes are too much) • User interface (UI) – console, graphical, web or mobile Non-Required Work • Completely finished project is not obligatory required. It will not be a big problem if your project is not completely finished or is not working greatly. This team work project is for educational purpose. Its main purpose it to experience object-oriented modeling and OOP in a real-world project and to get some experience in team working and team collaboration with Git. Deliverables Put the following in a ZIP archive and submit it (each team member submits the same file): • The complete source code. • Brief documentation of your project (2-3 pages). It should provide the following information (in brief): o Team name and list of team members o Project purpose – what problem do you solve? o Class diagram of your types o The URL of your Git repository o Any other information (optionally) • Optionally provide a PowerPoint presentation designed for the project defense. Public Project Defense Each team will have to deliver a public defense of its work in from of the other students and trainers. You will have only 10 minutes for the following: • Demonstrate the application (very shortly). • Show the class diagram (just a glance). • Show the source code in the Git web-based source code browser. • Show the commits logs to confirm those team members who have contributed. • Optionally you might prepare a PowerPoint presentation (3-4 slides). Please be strict in timing! Be well prepared for presenting maximum of your work for minimum time. Bring your own laptop. Test it preliminary with the multimedia projector. Open the project assets beforehand to save time. You have 10 minutes, no more. Give Feedback about Your Teammates You will be invited to provide feedback about all your teammates, their attitude to this project, their technical skills, their team working skills, their contribution to the project, etc. The feedback is important part of the project evaluation so take it seriously and be honest.

Communication Skills Have you ever attempted to convey the desired information? Maybe you took a stab at pitching an earth shattering venture, you were tasked with running a departmental meeting, or you expected to convey a convincing presentation. You did as well as can possibly be expected, however all you got were vague looks and ungainly quiets. Odds are, there wasn't much amiss with what you were attempting to say; it's simply that you expected to chip away at how you said it. The best communicators rouse and spur individuals, help them to make successful move, and expel obstructions to their comprehension. Lamentably, numerous businessmen think that its difficult to impart viably — we've all gotten tremendous, language ridden messages, and we've encountered the misconception, dissatisfaction and missed open doors that accompany them. Be that as it may, with the right aptitudes, anybody can turn into an outstanding communicator Add to My Personal Learning Plan. Perused on, and you can take in more than 130 intense relational abilities, gathered into the accompanying areas: Appreciate finding out about them, and appreciate turning into an expert communicator! Understanding the Fundamentals From starting aim, through structure and conveyance, to elucidation and input, your message will take after a procedure called the Communication Cycle Add to My Personal Learning Plan. Your message needs to succeed at every phase of this cycle, so structure it precisely to address your gathering of people's needs and desires, and to be fitting to the channel that you're utilizing. Be that as it may, correspondence is a two-way process, and you'll just realize that you've succeeded by paying consideration on input. Things being what they are, before imparting up close and personal, invest some energy asking you, "How great are my listening aptitudes? Add to My Personal Learning Plan" Demonstrate the general population you're conversing with that you truly are accepting their messages by listening empathically Add to My Personal Learning Plan and effectively Add to My Personal Learning Plan. Figure out how to be careful Add to My Personal Learning Plan, create sympathy Add to My Personal Learning Plan, and attempt to get a handle on other individuals' perspectives Add to My Personal Learning Plan with the goal that you go to a mutual comprehension Add to My Personal Learning Plan. This, thus, will permit you to make fantastic associations Add to My Personal Learning Plan with them. Taken together, these aptitudes can make your work environment more satisfied and more beneficial . In any case, to accomplish this, you have to begin with an arrangement. Arranging Your Communications The reason for good interchanges arranging Add to My Personal Learning Plan is to get the right message to the right individuals in the correct way. 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Your composed correspondences are rivaling so much other data that they have to get your crowd's thoughtfulness regarding be effective. This is the place it can utilize modified pyramid composing Add to My Personal Learning Plan, where the key focuses lead the pack. "Keeping things tight" is especially critical when you're composing messages Add to My Personal Learning Plan, where curtness, clarity and utilization of smart headlines are all crucial procedures Add to My Personal Learning Plan. Abstain from meandering, utilizing the wrong tone, and other basic oversights Add to My Personal Learning Plan. This guidance additionally applies to texting (IM) Add to My Personal Learning Plan, yet you should be much briefer with this. Longer bits of composing, especially business reports Add to My Personal Learning Plan, should be sorted out unmistakably and legitimately, so that the peruse knows precisely where to search for the data that he or she needs, and isn't put off by a mass of unstructured information. Imparting Impressively Face-to-Face To manufacture great connections Add to My Personal Learning Plan and draw in Add to My Personal Learning Plan individuals through your correspondence, you have to create affectability and the capacity to react decidedly and usefully add to My Personal Learning Plan to what they need to say. It's pretty much as essential to make a decent early introduction Add to My Personal Learning Plan in individual as it is in composing. Whatever your discussion's setting, be on time, be adequate, and try to be transparent. Put individuals at their straightforwardness with some babble Add to My Personal Learning Plan, and make certain to listen deliberately to their reactions. It's helpful to have the capacity to think and react quickly Add to My Personal Learning Plan, especially in circumstances where you need to talk without notice Add to My Personal Learning Plan. Assembled a convincing lift pitch Add to My Personal Learning Plan, so you can take full favorable position of any risk experience. Keep in mind that not all eye to eye correspondence is verbal. Indeed, when individuals are discussing their sentiments and feelings, the verbal piece of their message may add up to as meager as seven percent Add to My Personal Learning Plan of the entire correspondence. A skilful communicator figures out how to both read and utilize non-verbal communication Add to My Personal Learning Plan, and in addition listening to the words utilized. Running Productive Meetings Numerous individuals hate gatherings. Poor relational abilities can be a critical reason for this, and seriously run gatherings can abandon you feeling baffled and confounded about what to do next. You've most likely seen a colleague who commands, innovation that comes up short at the pivotal minute, or a pioneer who doesn't comprehend the meeting's motivation. It's rankling, yet it doesn't need to be that path - by taking in a scope of clear aptitudes, you can deal with any meeting adroitly and proficiently. The essential principles for running viable gatherings Add to My Personal Learning Plan are to build up your goal and stick to it, keep the meeting as short as could reasonably be expected, and ensure that every one of the members are content with the procedure. In any case, to be a top-class facilitator Add to My Personal Learning Plan, you additionally should have the capacity to: Outline and plan a meeting. Get individuals required from the begin with appropriate icebreakers Add to My Personal Learning Plan. Guide and control the gathering amid the meeting. Record the key focuses Add to My Personal Learning Plan successfully. Ensure that members comprehend what they have to do after the meeting. Not each meeting will race to arrange, in any case. On the off chance that your gatherings have a tendency to meander, you can figure out how to guide exchange Add to My Personal Learning Plan, to help you to convey request to disorder and to ensure that everybody gets their say in a composed way. Struggle can emerge when individuals have distinctive perspectives, so make certain to deal with that contention Add to My Personal Learning Plan, so it has a gainful result. Settle on beyond any doubt that collective choices are target and normal, notwithstanding when a meeting is free of contention. Furthermore, don't give oblivious obedience A chance to add to My Personal Learning Plan, inclination Add to My Personal Learning Planar other intuition traps wreck what you're attempting to accomplish. These, and different issues with gathering progression Add to My Personal Learning Plan, are shockingly regular, and they can genuinely undermine a meeting's prosperity. Giving Great Presentations Presentations are a center a portion of some well-run gatherings, however how would you ensure that your presentations are rousing and inspiring? You'll require an assortment of aptitudes Add to My Personal Learning Plan to present well. Arrangement your presentation Add to My Personal Learning Plan painstakingly. You'll discover conveying an incredible presentation Add to My Personal Learning Plan much less demanding on the off chance that you've taken an ideal opportunity to specialty what you're going to say, and picked the right structure and style Add to My Personal Learning Plan to ensure that your message has most extreme clarity and visual effect Add to My Personal Learning Plan. Move between solid realities and conceptual thoughts as you present, utilizing the Ladder of Abstraction Add to My Personal Learning Plan - this will help you to talk viably and truly to a wide crowd. Set up the room and check any props or IT equipment. It's no simple assignment to unite every one of these components. Look out for basic presentation botches Add to My Personal Learning Plan, and recall that even the slickest moderator encounters presentation nerves Add to My Personal Learning Plan, so you can conquer them, as well. On the off chance that you comprehend your gathering of people Add to My Personal Learning Plan, you'll have the capacity to get ready drawing in substance and get to be certain about open speaking Add to My Personal Learning Plan. All things considered, gifted moderators are made, not conceived. Winning Others Over Indeed, even the most skilfully organized and conveyed message won't generally get the up front investment that you need. Be that as it may, with great impacting and arrangement aptitudes, you can counteract or resolve clashes and get what you require. There are a few approaches to approach such a discussion. Where you need to construct long haul connections, Win-Win Negotiation Add to My Personal Learning Plan helps you to discover an answer that is worthy to everybody. Be that as it may, you ought to arrange for what you'll do if the going gets extreme by comprehension about Distributive Bargaining Add to My Personal Learning Plan. Use Lewicki and Hiam's Negotiation Matrix Add to My Personal Learning Plan to pick the best transaction system for your circumstance. Take consideration to evade basic arrangement botches Add to My Personal Learning Plan. Whatever your circumstance and the kind of arrangement, it's critical to approach it both decisively and cooperatively, regardless of the fact that you may need to say "No." Add to My Personal Learning Plan As a component of this; build up what everyone included truly needs, with the goal that you can be certain about your position. Influence is the craft of inspiring individuals to concur with you as it's firmly identified with transaction. Effective influence Add to My Personal Learning Plan depends on four things: setting up your believability Add to My Personal Learning Plan, discovering shared belief with the individual that you're convincing, giving proof that you're correct, and making a passionate association. You can at present get your direction regardless of the possibility that exclusive a couple people Add to My Personal Learning Plan share your perspective. Apply the ABCD of Trust Add to My Personal Learning Plan and recognize something to deal with, and you might be amazed by what you can accomplish. Acing the Art of Feedback Trust is likewise at the heart of giving input adequately – this is a standout amongst the most essential abilities that you can learn as an administrator. Understanding and being comprehended by your associates includes being open about yourself Add to My Personal Learning Plan and discovering approaches to share data Add to My Personal Learning Plan with them, and in addition welcoming their perspectives. The input that you give your colleagues may not generally be sure, but rather, in the event that you figure out how to do it well, you can have a tremendous effect to their execution. Obviously, there are two sides to each coin: figuring out how to get and follow up on input about your own particular execution brings advantages, as well. 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Multimodal Learning Analytics system to provide automated feedback to oral presentations

Acquire TED-grade presentation skills from the audience sentiment analysis feedback, powered by Microsoft Cognitive Services

This is a Clone of the Mentimeter website which helps build interactive presentations by adding questions, polls, quizzes, slides, images, gifs, and more to create presentations with real-time feedback. I made this project within 4 days during the constructive week.

Some thoughts on feedback for scientific presentations

A website that captures feedback about a presentation.

Public version of kxmeetup repo to host code before presentation for feedback etc

Speech/presentation practice app with real-time feedback, pose analysis, and LLM coaching

Provide live feedback with any public speaking or presentation. Includes pacing analysis and tele-prompting.