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.
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Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Data Science and Big Data Analytics - EMC Education Services
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
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Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
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Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Java Deep Learning Essentials - Yusuke Sugomori
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Deep Learning and Neural Networks - Jeff Heaton
Deep Learning with Applications Using Python - Navin Kumar Manaswi
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Python Deep Learning Cookbook - Indra den Bakker
Intelligent Projects Using Python - Santanu Pattanayak
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R Deep Learning Essentials - Dr. Joshua F.Wiley
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning with Theano - Christopher Bourez
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Deep Learning with PyTorch - Vishnu Subramanian
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili