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 Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Amazon Machine Learning Developer Guild Version Latest
Medical Image Segmentation Using Artificial Neural Networks
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Coding Theory - Algorithms, Architectures and Application
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning in Python - LazyProgrammer
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Intelligent Projects Using Python - Santanu Pattanayak
An introduction to neural networks - Kevin Gurney & University of Sheffield
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning with Theano - Christopher Bourez
Deep Learning with Python - Francois Cholletf
Learn Keras for Deep Neural Networks - Jojo Moolayil
Deep Learning and Neural Networks - Jeff Heaton
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Introduction to the Math of Neural Networks - Jeff Heaton
Introduction to Deep Learning - Eugene Charniak
Java Deep Learning Essentials - Yusuke Sugomori
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper