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
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Deep Learning with PyTorch - Vishnu Subramanian
Deep Learning with Theano - Christopher Bourez
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Deep Learning and Neural Networks - Jeff Heaton
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Java Deep Learning Essentials - Yusuke Sugomori
Machine Learning with spark and python - Michael Bowles
Deep Learning in Python - LazyProgrammer
Introduction to the Math of Neural Networks - Jeff Heaton
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Introduction to Scientific Programming with Python - Joakim Sundnes
Neural Networks - A visual introduction for beginners - Michael Taylor
Medical Image Segmentation Using Artificial Neural Networks
Data Science and Big Data Analytics - EMC Education Services
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning with Hadoop - Dipayan Dev
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
R Deep Learning Essentials - Dr. Joshua F.Wiley
The hundred-page Machine Learning Book - Andriy Burkov
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning with Python - Francois Cholletf
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Machine Learning with Python for everyone - Mark E.Fenner