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 - Sebastian Raschka
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Amazon Machine Learning Developer Guild Version Latest
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Deep Learning with Python - Francois Cholletf
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Machine Learning with Python for everyone - Mark E.Fenner
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Python Data Structures and Algorithms - Benjamin Baka
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning with Theano - Christopher Bourez
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Deep Learning with Hadoop - Dipayan Dev
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Pattern recognition and machine learning - Christopher M.Bishop
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Artificial Intelligence by example - Denis Rothman