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 - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Java Deep Learning Essentials - Yusuke Sugomori
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Deep Learning in Python - LazyProgrammer
Machine Learning with spark and python - Michael Bowles
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning for Natural Language Processing - Jason Brownlee
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Intelligent Projects Using Python - Santanu Pattanayak
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Introduction to Deep Learning - Eugene Charniak
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Amazon Machine Learning Developer Guild Version Latest
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Neural Networks - A visual introduction for beginners - Michael Taylor
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Python Deep Learning Cookbook - Indra den Bakker
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Introduction to Scientific Programming with Python - Joakim Sundnes
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Python Data Structures and Algorithms - Benjamin Baka
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Grokking Deep Learning - MEAP v10 - Andrew W.Trask