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 Second Edition - Sebastian Raschka & Vahid Mirjalili
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Machine Learning with Python for everyone - Mark E.Fenner
Deep Learning with PyTorch - Vishnu Subramanian
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Learn Keras for Deep Neural Networks - Jojo Moolayil
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Java Deep Learning Essentials - Yusuke Sugomori
Python Data Structures and Algorithms - Benjamin Baka
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Python Machine Learning Eqution Reference - Sebastian Raschka
Introduction to Deep Learning - Eugene Charniak
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Deep Learning for Natural Language Processing - Jason Brownlee
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Neural Networks and Deep Learning - Charu C.Aggarwal
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Amazon Machine Learning Developer Guild Version Latest