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
Introduction to the Math of Neural Networks - Jeff Heaton
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Python Machine Learning - Sebastian Raschka
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Machine Learning with Python for everyone - Mark E.Fenner
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Intelligent Projects Using Python - Santanu Pattanayak
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Fundamentals of Deep Learning - Nikhil Bubuma
Deep Learning in Python - LazyProgrammer
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Python Deep Learning Cookbook - Indra den Bakker
Introduction to Scientific Programming with Python - Joakim Sundnes
Neural Networks - A visual introduction for beginners - Michael Taylor
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
An introduction to neural networks - Kevin Gurney & University of Sheffield
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Python Machine Learning Eqution Reference - Sebastian Raschka
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...