A collection of links to articles, videos, and other resources I find useful.
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Download quick points of reference from our cheat sheets blog. There's everything from advanced NLP in Python & the Bokeh library to data.table in R & more.
DevPod is infrastructure-independent and client-only, which makes it incredibly easy to get started with. Codespaces but open-source, client-only and unopinionated. Works with any infra, any progamming language, any IDE, etc.
Nhật ký Theta
Book comes with jupyter notebooks.
97% of learners recommend Dataquest for learning data science. Better teaching = better outcomes. Take a free lesson now >>
Learn new job skills in online courses from industry leaders like Google, IBM, & Meta. Advance your career with top degrees from Michigan, Penn, Imperial & more.
DeepLearning.AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community.
Deep learning is transforming the world. We are making deep learning easier to use and getting more people from all backgrounds involved through our: free courses for coders, software library, cutting-edge research, community.
Articles on AWS, Serverless, React.js and Web Development - solving problems and automating tasks.
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I design, build, and operate machine learning systems that serve customers at scale. I also write about data/ML systems and career.
Connect with developers who are sharing the strategies and revenue numbers behind their companies and side projects.
A personal site of Tony Dinh. He makes himself tools that help him earn without working for any company.
Open-source examples and guides for building with the OpenAI API. Browse a collection of snippets, advanced techniques and walkthroughs. Share your own examples and guides.
"La statistique expliquée à mon chat", c'est fini. Pour contacter Nathan (narration et script) : [email protected] Pour contacter Laura (graphisme et animation) : [email protected] Pour contacter Gwenaël (composition) : [email protected]
Interactive deep learning book with code, math, and discussions. Implemented with PyTorch, NumPy/MXNet, JAX, and TensorFlow. Adopted at 500 universities from 70 countries