Extra Online Study Material
- Learning plan
- metacademy
https://github.com/afshinea/stanford-cs-229-machine-learning - Video Playlists
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- StatQuest [💥😋 Loved by many past students]
- FreeCodeCamp
- Essence of linear algebra and Neural Networks by 3Blue1Brown
- Mathematics for ML by David Rolnick
- Courses with Playlist and/or Code
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- Introduction to Machine Learning by Google
- Machine Learning by Stanford
- Deep Learning by UC Berkeley
- Hinton's Lectures on Neural Networks for Machine Learning
- Deep Learning & Linear Algebra courses by fastai
- Learning from Data by Caltech
- Deep Learning (with PyTorch) playlist and course by NYU
- Deep Learning by Stanford
- Deep Learning by deeplearning.ai
- Introduction to Deep Learning by MIT
- Information Theory, Pattern Recognition, and Neural Networks by David MacKay
- Good Blogs for Conceptual Understanding
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- Christopher Olah's Blog
- Fast.AI
- Distill.pub: Amazing Online and Interactive ML Journal, more accessible than other typical scientific publications
- inFERENCE: Ferenc Huszár's Blog
- Books with Code
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- Probabilistic Machine Learning: An Introduction by Kevin Murphy (book 1)
- Dive into Deep Learning BY by Aston Zhang, Zachary Lipton, Mu Li, and Alexander J. Smola
- Machine Learning Notebooks for O'Reilly book Hands-on Machine Learning with Scikit-Learn and TensorFlow
- Similar Courses - Graduate Level
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- https://www.cs.toronto.edu/~rgrosse/courses/csc2515_2019/
- https://www.cs.cornell.edu/courses/cs4780/2019fa/
- Similar Courses - Undergraduate Level
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- hhttps://cs.mcgill.ca/~wlh/comp451/schedule.html
- https://www.cs.toronto.edu/~rgrosse/courses/csc311_f20/
- https://www.cs.toronto.edu/~rgrosse/courses/csc411_f18/
- http://cs229.stanford.edu/syllabus-fall2020.html
- https://cs230.stanford.edu/lecture/
- Cheatsheets: https://stanford.edu/~shervine/teaching/
- Similar Courses - Last Versions
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- Fall 2019
- Winter 2020
- Fall 2020
- Winter 2023
- Fall 2023
- Winter 2024