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
Deep Learning and Neural Networks - Jeff Heaton
Deep Learning with Hadoop - Dipayan Dev
Introduction to Scientific Programming with Python - Joakim Sundnes
Neural Networks and Deep Learning - Charu C.Aggarwal
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Coding Theory - Algorithms, Architectures and Application
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Deep Learning with Python - Francois Chollet
Intelligent Projects Using Python - Santanu Pattanayak
Machine Learning with Python for everyone - Mark E.Fenner
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Deep Learning in Python - LazyProgrammer
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Deep Learning with Python - Francois Cholletf
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Python Deep Learning Cookbook - Indra den Bakker
Medical Image Segmentation Using Artificial Neural Networks
Python Data Structures and Algorithms - Benjamin Baka
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
An introduction to neural networks - Kevin Gurney & University of Sheffield
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Introduction to the Math of Neural Networks - Jeff Heaton
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Data Science and Big Data Analytics - EMC Education Services
Deep Learning with Applications Using Python - Navin Kumar Manaswi