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
Deep Learning for Natural Language Processing - Jason Brownlee
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Pattern recognition and machine learning - Christopher M.Bishop
Data Science and Big Data Analytics - EMC Education Services
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Python Machine Learning - Sebastian Raschka
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Fundamentals of Deep Learning - Nikhil Bubuma
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Introduction to the Math of Neural Networks - Jeff Heaton
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Deep Learning with Hadoop - Dipayan Dev
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
R Deep Learning Essentials - Dr. Joshua F.Wiley
Intelligent Projects Using Python - Santanu Pattanayak
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Learn Keras for Deep Neural Networks - Jojo Moolayil
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Neural Networks and Deep Learning - Charu C.Aggarwal
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Coding Theory - Algorithms, Architectures and Application
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Introduction to Deep Learning - Eugene Charniak
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
