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
Artificial Intelligence by example - Denis Rothman
Python Deep Learning Cookbook - Indra den Bakker
Deep Learning in Python - LazyProgrammer
Fundamentals of Deep Learning - Nikhil Bubuma
An introduction to neural networks - Kevin Gurney & University of Sheffield
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Amazon Machine Learning Developer Guild Version Latest
Deep Learning with PyTorch - Vishnu Subramanian
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Introduction to the Math of Neural Networks - Jeff Heaton
R Deep Learning Essentials - Dr. Joshua F.Wiley
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Deep Learning and Neural Networks - Jeff Heaton
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Introduction to Deep Learning - Eugene Charniak
Python Data Structures and Algorithms - Benjamin Baka
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning with Python - Francois Cholletf
Deep Learning with Keras - Antonio Gulli & Sujit Pal