Did you know that artificial intelligence (AI) is changing our world faster than we can imagine? Try to envision all the mind-boggling benefits of a world where AI can help us to enjoy almost every area of our lives. This world will be a reality in the very near future, but along with the benefits will come new challenges as well. AI will impact every area of our lives, in some ways that we can’t even predict, whether we like it or not. Would you like to know more about this fascinating technology? In this non-technical guidebook, you will discover the many ways in which AI is already changing our world, and how you can adjust to these changes. You will also learn practical methods you can use to apply AI in your own personal and professional life. Artificial intelligence will help us to do almost everything better, faster and cheaper, but it will also bring about some considerable challenges that we need to start preparing for now. One common misconception is that only big technology companies can work with and benefit from AI. In this book you will discover several creative ways in which you can do the same.
Artificial Intelligence – 101 things you must know today about our future – Lasse Rouhiainen
Deep Learning with PyTorch - Vishnu Subramanian
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Deep Learning with Theano - Christopher Bourez
Data Science and Big Data Analytics - EMC Education Services
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Pattern recognition and machine learning - Christopher M.Bishop
Intelligent Projects Using Python - Santanu Pattanayak
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Deep Learning in Python - LazyProgrammer
Deep Learning with Python - Francois Cholletf
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Machine Learning with Python for everyone - Mark E.Fenner
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
An introduction to neural networks - Kevin Gurney & University of Sheffield
Introduction to the Math of Neural Networks - Jeff Heaton
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Machine Learning with spark and python - Michael Bowles
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
R Deep Learning Essentials - Dr. Joshua F.Wiley
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Python Data Structures and Algorithms - Benjamin Baka