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
Intelligent Projects Using Python - Santanu Pattanayak
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Artificial Intelligence by example - Denis Rothman
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Machine Learning with spark and python - Michael Bowles
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Deep Learning and Neural Networks - Jeff Heaton
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Introduction to Deep Learning - Eugene Charniak
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Coding Theory - Algorithms, Architectures and Application
Introduction to the Math of Neural Networks - Jeff Heaton
R Deep Learning Essentials - Dr. Joshua F.Wiley
