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
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning with Python - Francois Chollet
Introduction to Scientific Programming with Python - Joakim Sundnes
Introduction to the Math of Neural Networks - Jeff Heaton
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Medical Image Segmentation Using Artificial Neural Networks
Artificial Intelligence by example - Denis Rothman
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Neural Networks and Deep Learning - Charu C.Aggarwal
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Deep Learning with Theano - Christopher Bourez
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Python Machine Learning Eqution Reference - Sebastian Raschka
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Introduction to Deep Learning - Eugene Charniak
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
R Deep Learning Essentials - Dr. Joshua F.Wiley
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Deep Learning for Natural Language Processing - Jason Brownlee
Intelligent Projects Using Python - Santanu Pattanayak
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Python Deep Learning Cookbook - Indra den Bakker
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Python Machine Learning - Sebastian Raschka
