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
Coding Theory - Algorithms, Architectures and Application
Fundamentals of Deep Learning - Nikhil Bubuma
Deep Learning with Python - Francois Chollet
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Java Deep Learning Essentials - Yusuke Sugomori
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Neural Networks and Deep Learning - Charu C.Aggarwal
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Learn Keras for Deep Neural Networks - Jojo Moolayil
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Deep Learning with Hadoop - Dipayan Dev
Deep Learning with Python - Francois Cholletf
Python Machine Learning Eqution Reference - Sebastian Raschka
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Pattern recognition and machine learning - Christopher M.Bishop
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Introduction to the Math of Neural Networks - Jeff Heaton
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
R Deep Learning Essentials - Dr. Joshua F.Wiley
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Deep Learning for Natural Language Processing - Jason Brownlee
Artificial Intelligence by example - Denis Rothman
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...