<aside> ℹ️ Hello and welcome to the ML-Starter Kit (@mlstarterkit)! This is a collection of (mostly) free and high quality resources for getting started in the field of Machine Learning. It is the first collection of its kind that combines courses, books, blogs, movies and many more into one single collection and has already helped more than 17k users worldwide! In case you have any question, remark, idea, please feel free to reach out on Twitter. Note that I am not responsible for any of the content of the shared links.


<aside> ❤️ Special thanks to the many authors of these great free resources! If you like them, consider showing the author some appreciation by buying a hard-copy. As an Amazon affiliate I earn from qualified sales. Another way to support me is by heading over to buymeacoffee.


<aside> ⭐ Out of personal interest: Take a look at https://ml-news.deta.dev/. As a small project on my own, I built an automated & personalized machine learning newsletter. It's for free, and every week, you get the matching new papers in your inbox. Right now, we can use it with 300 people as there are some limits with sending out the emails. First come, first served 😊


1) Resources - Single Pieces of Educational Content

To view the full table of resources that is also searchable, see the dropdown below.



🧮 (Mathematical) Foundations


🤖 Machine Learning Specializations

🛠️ Applied Machine Learning

💻 Software Development & Data Science & Others

☮️ Social Aspects

2) Channels - Sites that Regularly Publish ML Content



3) Roadmaps - Guided Learning Paths


4) State of AI - Current Status of Research and Industry

Current State of AI

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