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
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Deep Learning and Neural Networks - Jeff Heaton
Deep Learning with Theano - Christopher Bourez
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Medical Image Segmentation Using Artificial Neural Networks
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Introduction to Scientific Programming with Python - Joakim Sundnes
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Neural Networks and Deep Learning - Charu C.Aggarwal
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Pattern recognition and machine learning - Christopher M.Bishop
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Learn Keras for Deep Neural Networks - Jojo Moolayil
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Deep Learning with PyTorch - Vishnu Subramanian
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Introduction to Deep Learning - Eugene Charniak
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Artificial Intelligence by example - Denis Rothman
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Neural Networks - A visual introduction for beginners - Michael Taylor
Machine Learning with Python for everyone - Mark E.Fenner
Fundamentals of Deep Learning - Nikhil Bubuma
