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
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Deep Learning and Neural Networks - Jeff Heaton
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Coding Theory - Algorithms, Architectures and Application
Intelligent Projects Using Python - Santanu Pattanayak
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Deep Learning in Python - LazyProgrammer
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Java Deep Learning Essentials - Yusuke Sugomori
Medical Image Segmentation Using Artificial Neural Networks
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning with Theano - Christopher Bourez
Learn Keras for Deep Neural Networks - Jojo Moolayil
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Deep Learning with Hadoop - Dipayan Dev
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Introduction to the Math of Neural Networks - Jeff Heaton
Python Machine Learning Eqution Reference - Sebastian Raschka
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Machine Learning with Python for everyone - Mark E.Fenner
Introduction to Scientific Programming with Python - Joakim Sundnes
Pattern recognition and machine learning - Christopher M.Bishop
Neural Networks - A visual introduction for beginners - Michael Taylor
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Introduction to Deep Learning - Eugene Charniak
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...