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
Coding Theory - Algorithms, Architectures and Application
Python Machine Learning - Sebastian Raschka
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Neural Networks and Deep Learning - Charu C.Aggarwal
Data Science and Big Data Analytics - EMC Education Services
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Amazon Machine Learning Developer Guild Version Latest
Python Deep Learning Cookbook - Indra den Bakker
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
R Deep Learning Essentials - Dr. Joshua F.Wiley
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Deep Learning with Python - Francois Chollet
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Superintelligence - Paths, Danges, Strategies - Nick Bostrom