A collection of resources for intersection of design, user experience, machine learning and artificial intelligence

Making developers awesome at machine learning.

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...

From textbooks to introductory tomes and mass-market nonfiction.

LETTRIA est un outil de traitement du langage naturel (NLP) dédié à la compréhension du français. Notre mission est d'aider les développeurs à construire les prochaines applications linguistiques intelligentes, qu'il s'agisse d'un chatbot, d'un outil de traduction, de l'analyse de texte ou d'un assistant personnel.

All the essential Deep Learning Algorithms you need to know including models used in Computer Vision and Natural Language Processing

Dataset Search launches publicly with an index of 25 million datasets, helping scientists, journalists, students, data geeks to find data.

L’IA vous fait peur ? Vous en entendez parler à toutes les sauces ? Les humains seraient bons pour la casse ? Mais c’est quoi l’intelligence (artificielle) au fait ? IAI est un MOOC citoyen pour les enseignants et les plus jeunes, à la portée de tous pour se questionner, expérimenter et comprendre ce qu’est l’Intelligence Artificielle…. avec intelligence !

A platform for public participation in and discussion of the human perspective on machine-made moral decisions

Train a computer to recognize your own images, sounds, & poses. A fast, easy way to create machine learning models for your sites, apps, and more – no expertise or coding required.

Using JavaScript and frameworks like Tensorflow.js is a great way to get started and learn more about machine learning. In this article, Charlie Gerard covers the three main features currently available using Tensorflow.js and sheds light onto the limits of using machine learning in the frontend.

A neural network that transforms a design mock-up into a static website. - emilwallner/Screenshot-to-code

Machine learning is a vast and promising area. It offers exciting solutions to real-world problems as well as a variety of well-paid jobs...

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained - trekhleb/homemade-machine-learning

:speech_balloon: Machine Learning Course with Python - machinelearningmindset/machine-learning-course

Découvrez les métiers de l'IA et de la cybersécurité dans ce guide réalisé en collaboration avec Sopra Steria.

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.

Programming and data science articles by hadrienj

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.

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

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

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.

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.

Rebonjour à tous !