IA

Courses on deep learning, deep reinforcement learning (deep RL), and artificial intelligence (AI) taught by Lex Fridman at MIT. Lectures, introductory tutorials, and TensorFlow code (GitHub) open to all.

An intensive, practical 20-hour introduction to machine learning fundamentals, with companion TensorFlow exercises.

Jason Mayes Senior Creative Engineer, Google Machine Learning 101 Feel free to share this deck with others who are learning! Send me feedback here. Dec 2017 Welcome! If you are reading the notes there are a few extra snippets down here from time to time. But more for my own thoughts, feel free to...

Learn with Google AI. Whether you're just learning to code or you're a seasoned machine learning practitioner, you'll find information and exercises in this resource center to help you develop your skills and advance your projects.

Musings of a Computer Scientist.

The ultimate guide to machine learning. Simple, plain-English explanations accompanied by math, code, and real-world examples.

Machine learning is a subfield of artificial intelligence (AI). The goal of machine learning generally is to understand the structure of data and fit that data into models that can be understood and utilized by people. Although machine learning is a f

Rebonjour à tous !

Get the skills you need to become a data scientist, data analyst, or data engineer. Learn Python, R, SQL, Pandas & NumPy, Data Visualization, Data Cleaning and Analysis. Start learning now – 60 free missions.

This is companion wiki of The Hundred-Page Machine Learning Book by Andriy Burkov. The book that aims at teaching machine learning in a concise yet systematic manner.

Learn more about Reaktor's and the University of Helsinki's AI course - no programming or complicated math required.

castelnauDataIa has 15 repositories available. Follow their code on GitHub.