Ecosyste.ms: Awesome
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Awesome-AI
The guide to master Artificial Intelligence (machine learning & deep learning) from beginner to advance
https://github.com/VidyasagarMSC/Awesome-AI
- An introduction to Artificial Intelligence
- A beginner's guide to artificial intelligence, machine learning, and cognitive computing
- Which machine learning algorithm should I use?
- The Journey of a Machine Learning model from Building to Retraining
- An executive’s guide to AI by McKinsey&Company
- A Comprehensive Guide On How to Monitor Your Models in Production
- Introduction to Artificial Intelligence by Microsoft on edx
- Introduction to Machine Learning crash course by Google
- Foundations of Machine Learning(foml) by Bloomberg
- 5 books to Master Machine Learning
- Machine Learning Yearning by Andrew Ng - Signup for a free draft copy - *Approx. 100 pages*
- The Hundred-Page Machine Learning Book
- Introductory Guide to Artificial Intelligence
- What is Machine Learning?
- Introducing Deep Learning with MATLAB
- Introduction to Tensorflow
- AI cheatsheets
- Machine Learning Cheatsheet
- Machine Learning for dummies cheat sheet
- Machine Learning Tutorial for Beginners – Learn Machine Learning
- Deep Learning Tutorial for Beginners - Kaggle
- Deep Learning - The Past, Present and Future of Artificial Intelligence
- Deeplearning.ai | Coursera by Andrew Ng - *5 courses*
- Machine Learning | Coursera by Andrew Ng
- fast.ai
- Practical Deep Learning for Coders
- Cutting Edge Deep Learning for Coders
- Deep Learning, An MIT Press book
- Understanding Machine Learning: From Theory to Algorithms
- Gymnasium - Gymnasium(formerly Gym) is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents everything from walking to playing games like Pong or Pinball.
- TensorFlow - An open source machine learning framework for everyone
- Explore AI Libraries - Discover & find a curated list of AI popular & new libraries, top authors, trending project kits, discussions, tutorials & learning resources on kandi.
- Seedbank - Collection of Interactive Machine Learning Examples
- R2D3 - A visual introduction to machine learning
- Stanford CS 229
- Engati blog
- For benchmarking Deep Learning algorithms
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