Awesome-AI

A curated list of articles, books, courses, infographics and many more covering Artificial Intelligence, Machine Learning and Deep Learning.

Check the new Awesome-DS repo for Data Science content

Beginners - Getting Started

:pencil: Articles

• 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

:page_facing_up:Courses

• Introduction to Artificial Intelligence by Microsoft on edx
• Introduction to Machine Learning crash course by Google
• Foundations of Machine Learning(foml) by Bloomberg

:books:Books

• 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

:snowman:Quick guides

• Introductory Guide to Artificial Intelligence
• DZone's Guide to Artificial Intelligence: Machine Learning and Predictive Analytics
• What is Machine Learning?
• Introducing Deep Learning with MATLAB
• Introduction to Tensorflow

Cheatsheets

• AI cheatsheets
• The machine learning algorithm cheat sheet - sas.com
• Machine Learning Cheatsheet
• Stanford CS 229:
  • Deep Learning: http://stanford.io/2BsQ91Q
  • Supervised Learning: http://stanford.io/2nRlxxp
  • Unsupervised Learning: http://stanford.io/2MmP6FN
• Machine Learning for dummies cheat sheet

Tutorials

• Machine Learning Tutorial for Beginners – Learn Machine Learning
• Deep Learning Tutorial for Beginners - Kaggle

Presentations

• Deep Learning - The Past, Present and Future of Artificial Intelligence

:robot:Advanced AI

:page_facing_up:Courses

• Deeplearning.ai | Coursera by Andrew Ng - 5 courses
• Machine Learning | Coursera by Andrew Ng
• fast.ai courses
  • Deep Learning Part 1: Practical Deep Learning for Coders
  • Deep Learning Part 2: Cutting Edge Deep Learning for Coders

:books: Books

• Deep Learning, An MIT Press book
• Understanding Machine Learning: From Theory to Algorithms

Infographics

• AI "Technology Readiness" Infographic Source: CallaghanInnovation
• AI Timeline Source: Apttus
• AI detailed Timeline Source: Digital Intelligence Today

Opensource Libraries and Tools

• 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.

Interactive Tutorials

• Seedbank - Collection of Interactive Machine Learning Examples
• R2D3 - A visual introduction to machine learning

Tips and Tricks

• Stanford CS 229

Free books collection

• Engati blog

Datasets

• For benchmarking Deep Learning algorithms

Thank and show your :hearts: to the respective authors

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