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 Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Introduction to the Math of Neural Networks - Jeff Heaton
Intelligent Projects Using Python - Santanu Pattanayak
Deep Learning with PyTorch - Vishnu Subramanian
R Deep Learning Essentials - Dr. Joshua F.Wiley
Deep Learning with Theano - Christopher Bourez
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
An introduction to neural networks - Kevin Gurney & University of Sheffield
Python Machine Learning Eqution Reference - Sebastian Raschka
Learn Keras for Deep Neural Networks - Jojo Moolayil
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Python Deep Learning Cookbook - Indra den Bakker
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Data Science and Big Data Analytics - EMC Education Services
Deep Learning for Natural Language Processing - Jason Brownlee
Machine Learning with spark and python - Michael Bowles
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Python Machine Learning - Sebastian Raschka
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Medical Image Segmentation Using Artificial Neural Networks
Deep Learning and Neural Networks - Jeff Heaton
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho