Linking pages
Linked pages
- Machine Learning | Google Developers https://developers.google.com/machine-learning/crash-course/ 371 comments
- Dive into Deep Learning — Dive into Deep Learning 1.0.3 documentation https://d2l.ai/ 223 comments
- Practical Deep Learning for Coders - Practical Deep Learning https://course.fast.ai 177 comments
- TensorFlow, Keras and deep learning, without a PhD | Google Codelabs https://codelabs.developers.google.com/codelabs/cloud-tensorflow-mnist/#0 151 comments
- Seeing Theory https://seeing-theory.brown.edu/index.html 145 comments
- A Course in Machine Learning http://ciml.info/ 104 comments
- Building Safe A.I. - i am trask https://iamtrask.github.io/2017/03/17/safe-ai/ 95 comments
- Mathematics for Machine Learning | Companion webpage to the book “Mathematics for Machine Learning”. Copyright 2020 by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. Published by Cambridge University Press. https://mml-book.github.io/ 81 comments
- Foundations of Machine Learning https://bloomberg.github.io/foml/ 71 comments
- ML Universal Guides | Google Developers https://developers.google.com/machine-learning/guides/ 54 comments
- Interpretable Machine Learning https://christophm.github.io/interpretable-ml-book/ 45 comments
- http://gwthomas.github.io/docs/math4ml.pdf 40 comments
- User guide: contents — scikit-learn 1.1.2 documentation http://scikit-learn.org/stable/user_guide.html 32 comments
- [2004.14545] Explainable Deep Learning: A Field Guide for the Uninitiated https://arxiv.org/abs/2004.14545 25 comments
- Welcome to Spinning Up in Deep RL! — Spinning Up documentation https://spinningup.openai.com/en/latest/ 23 comments
- https://github.com/OpenMined/PySyft/tree/master/examples/tutorials 5 comments
- When we share, everyone wins - Creative Commons http://creativecommons.org/ 5 comments
- A free online introduction to artificial intelligence for non-experts https://www.elementsofai.com/ 4 comments
- Rules of Machine Learning: | Google for Developers https://developers.google.com/machine-learning/guides/rules-of-ml#rule_14_starting_with_an_interpretable_model_makes_debugging_easier 1 comment
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