A curated list of topics to start learning software engineering
- software-engineering
- computer-science
- curated-list
- mooc
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A curated list of topics to start learning software engineering
Code Repository for Machine Learning with PyTorch and Scikit-Learn
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
🤖 Places where you can learn robotics (and stuff like that) online 🤖
:sunglasses: A curated list of awesome MLOps tools
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
Visualizer for pandas data structures
Translated:book: [Translation] scikit-learn (sklearn) Chinese documentation
R for data science: a book
Sci-Fi worth consuming
A computer science textbook
This repository is a compilation of free resources for learning Data Science.
The "Python Machine Learning (3rd edition)" book code repository
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
TranslatedList of telegram groups, channels & bots (interesting ones) // List of chats for programmers
Translated💻 A space for studying to build knowledge as a junior developer 👨💻
the resources I use to learn computer science in my spare time
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
The 3rd edition of course.fast.ai
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
Translated📚 Classic computer programming books, "big black books", programming e-books, e-books, programming books, including classic e-books on computer fundamentals, C/C++, Java, Python, interview questions, architecture design, algorithm series, and more.
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
TranslatedKnowledge, code, and ideas for data mining, computer vision, natural language processing, and recommender system competitions