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 with an introduction to Machine Learning second edition - Richar E. Neapolit...
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Fundamentals of Deep Learning - Nikhil Bubuma
Neural Networks - A visual introduction for beginners - Michael Taylor
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Java Deep Learning Essentials - Yusuke Sugomori
R Deep Learning Essentials - Dr. Joshua F.Wiley
Neural Networks and Deep Learning - Charu C.Aggarwal
Deep Learning with Hadoop - Dipayan Dev
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Data Science and Big Data Analytics - EMC Education Services
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Deep Learning in Python - LazyProgrammer
Python Deep Learning Cookbook - Indra den Bakker
Deep Learning with Python - Francois Cholletf
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Introduction to Deep Learning - Eugene Charniak
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
