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
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Deep Learning with PyTorch - Vishnu Subramanian
Fundamentals of Deep Learning - Nikhil Bubuma
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Neural Networks and Deep Learning - Charu C.Aggarwal
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Coding Theory - Algorithms, Architectures and Application
Medical Image Segmentation Using Artificial Neural Networks
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning in Python - LazyProgrammer
Amazon Machine Learning Developer Guild Version Latest
Deep Learning with Python - Francois Chollet
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Deep Learning with Theano - Christopher Bourez
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Deep Learning with Hadoop - Dipayan Dev
Introduction to Deep Learning - Eugene Charniak
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Deep Learning and Neural Networks - Jeff Heaton