Machine Learning Resources!

Hi! This thread is for all the machine learning resources out there, Feel free to add yours by commenting here.

Let me start by giving some:
Books

  1. Mathematics for Machine Learning
  2. Machine Learning
  3. Probablistic approach to machine learning by Kevin Murphy

Research Papers

  1. https://paperswithcode.com/

Hands-On GitHub Repos for ML(TF & Scikit, PyTorch):

1)https://github.com/ageron/handson-ml2
2)https://github.com/rasbt/python-machine-learning-book-2nd-edition
3) https://github.com/ritchieng/the-incredible-pytorch

Good Courses online :

  1. Fast.ai
  2. Production level ML --> https://fullstackdeeplearning.com/
  3. Mathematics in Machine Learning Specialization on coursera by ICL --> https://www.coursera.org/specializations/mathematics-machine-learning (If you can’t pay, please ask for financial aid in the link)
  4. Deep learning book by LEGENDS(Turing Award Winner Yoshua Bengio & Ian Goodfellow): http://www.deeplearningbook.org/
  5. Intel’s Course: https://software.intel.com/en-us/ai/courses
  6. Nvidia’s course: https://www.nvidia.com/en-us/deep-learning-ai/education/
  7. www.Udacity.com --> Alot of free courses( do not look for nanodegrees)
  8. https://www.coursera.org/specializations/deep-learning --> Andrew Ng’s new Deep learning course
  9. https://dlrlsummerschool.ca/past-years/

Websites

  1. https://madewithml.com/
  2. http://www.cs.cmu.edu/~mgormley/courses/10601/schedule.html

Tools

  1. Weights and Biases (Visualize your DNN Progress etc.)
  2. Streamlit (Manages frontend)
  3. Microsoft NNI (AutoML)
  4. OpenAI Gym and MuJoCo(Environment Creator and Gym for Reinforcement learning)
  5. rapids.ai
  6. Sklearn, Tensorflow, Keras, PyTorch

Data Visualization Resources

  1. https://sanddance.azurewebsites.net/BeachPartyApp/BeachPartyApp.html

Fun Noobish Things you might want to know about:

  1. https://teachablemachine.withgoogle.com/
  2. https://sketch2code.azurewebsites.net/

Amazing Blogs

  1. pudding.cool
  2. https://www.ailab.microsoft.com/experiments/30c61484-d081-4072-99d6-e132d362b99d
  3. https://www.fast.ai/2020/01/07/data-questionnaire/

Famous Conferences:

  1. NeurIPS(formerly NIPS)
  2. AAAI
  3. AIES

Reinforcement Learning Resources

  1. https://lilianweng.github.io/lil-log/
  2. https://spinningup.openai.com/en/latest/
  3. https://cmudeeprl.github.io/703website/

All the best on your machine learning journey~

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