Found 504 repositories(showing 30)
mrdbourke
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱
chris-chris
WIP: Roadmap to becoming a machine learning engineer in 2020
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing, model development, deployment, and maintenance.
shanmukh05
A roadmap for getting started with Machine Learning
JsonChao
:robot: Roadmap to becoming a Machine Learning developer in 2020
mlacademyai
Machine Learning Roadmap for 2025. Step-by-step guide to become a Data Scientist. Covers the best free learning resources from Python basics to Deep Learning and MLOps.
No description available
markredito
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
trojrobert
Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to solve real life problems
enkaranfiles
this is for myself, development roadmap
rmcmillan34
A comprehensive learning roadmap for mastering the core disciplines necessary for successful sole algorithmic trading. This repository serves as a structured template, guiding users through essential topics in software engineering, data science, machine learning, and finance. It combines certifications, curated resources, and hands-on projects.
TalalAlrawajfeh
No description available
mihui
Machine Learning & Deep Learning Roadmap
SepidehHosseinian
MLOps-Roadmap-2023 is a repository that provides a comprehensive and up-to-date guide for anyone who wants to learn and master machine learning operations (MLOps).
COPS-IITBHU
A beginner's roadmap to getting started in Machine Learning, by COPS IIT(BHU).
bishwaghimire
A complete, structured hub for learning Artificial Intelligence — covering AI, Machine Learning, Deep Learning, and Data Science with books, roadmaps, and curated resources from beginner to advanced.
Bhavik-Jikadara
Welcome to the ultimate guide for starting your journey in Artificial Intelligence and Machine Learning in 2025! This roadmap provides a step-by-step approach to mastering AI and ML, from fundamentals to advanced topics.
romanyn36
A comprehensive AI learning roadmap covering Python fundamentals, mathematics, machine learning, deep learning, LLMs, and agentic systems — focused on hands-on projects, practical tools, and real-world deployment.
leadthefuture
RoadMap and preparation material for Machine Learning and Data Science - From beginner to expert.
GrandGarcon
the open source way to do the excercises to be a Full-Stack Cybersecurity Engineer. added with the recent paper in the field of Machine learning and cybersecurity. for more info about theis path :- https://www.sans.org/cyber-security-skills-roadmap/
joaopaulolndev
Description about my roadmap to become Data Scientist and Engineer Machine Learning
MIStatlE
Curated roadmap & resource hub for Machine Learning Theory ― structured learning paths, course outlines, and distilled notes to help researchers and students build solid theoretical foundations.
amit-timalsina
Full Roadmap for Data Science. End to End Machine Learning
Mohammed-Majid
Comprehensive Machine Learning Roadmap
AdArya125
'Primer to Machine Learning' is a comprehensive guide covering essential topics in machine learning, including statistics, data preprocessing, supervised and unsupervised learning, neural networks, deep learning, NLP, time series analysis, and reinforcement learning. Perfect for beginners and intermediates.
Mohamed20384
No description available
Machine Learning Roadmap: From Novice to Pro
Bosha-a
No description available
rembertdesigns
Curated machine learning and AI roadmap—free, open-access resources spanning foundational math, tutorials, books, frameworks, LLMs, interactive demos, and EdTech tools. Start anywhere, level up everywhere.