In 2006, Geoffrey Hinton et al. published a paper showing how to train a deep neural network capable of recognizing handwritten digits with state-of-the-art precision (>98%). They branded this technique “Deep Learning.” Training a deep neural net was widely considered impossible at the time,
21 and most researchers had abandoned the idea since the 1990s. This paper revived the interest of the scientific community and before long many new papers demonstrated that Deep Learning was not only
possible, but capable of mind-blowing achievements that no other Machine Learning (ML) technique could hope to match (with the help of tremendous computing power and great amounts of data). This enthusiasm soon extended to many other areas of Machine Learning. Fast-forward 10 years and Machine Learning has conquered the industry: it is now at the heart of much of the magic in today’s high-tech products, ranking your web search results, powering your smartphone’s speech recognition, recommending vid‐eos, and beating the world champion at the game of Go. Before you know it, it will be driving your car.
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow – Aurelien Geron
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Introduction to the Math of Neural Networks - Jeff Heaton
Data Science and Big Data Analytics - EMC Education Services
Deep Learning with Theano - Christopher Bourez
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Learn Keras for Deep Neural Networks - Jojo Moolayil
Machine Learning with Python for everyone - Mark E.Fenner
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Deep Learning with Python - Francois Cholletf
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Python Data Structures and Algorithms - Benjamin Baka
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Python Machine Learning - Sebastian Raschka
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Fundamentals of Deep Learning - Nikhil Bubuma
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning with Python - Francois Chollet