Books

Hands-On Machine Learning with Scikit-Learn and TensorFlow

By using concrete examples, minimal theory, and production-ready Python frameworks you'll gain an intuitive understanding of the concepts and tools necessary to building intelligent systems.  

The Future Computed: Artificial Intelligence and its role in society

Microsoft on the future of law and ethics in AI development and the industry's ongoing transformation of the workplace.

Deep Learning with Python

An introduction to the field of deep learning using the Python language and the powerful Keras library written by Keras creator and Google AI researcher François Chollet.

TensorFlow Machine Learning Cookbook

A guide to implementing TensorFlow in everyday machine learning using advanced techniques that yield high accuracy and speed all facilitated by powerful second generation machine learning tools.

Deep Learning

An MIT press walkthrough on the mathematical technicalities underpinning neural network models from standard feed-forward to deep generative.

Deep Learning, A Practitioner's Approach

Hands-on guide providing practical information on the subject to help you avoid pitfalls and unrealistic expectations and get you started building efficient deep learning networks.