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 - An Algorithmic Perspective second edition - Stephen Marsland
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Machine Learning with spark and python - Michael Bowles
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Deep Learning with Theano - Christopher Bourez
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Medical Image Segmentation Using Artificial Neural Networks
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Introduction to Scientific Programming with Python - Joakim Sundnes
Intelligent Projects Using Python - Santanu Pattanayak
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning with Hadoop - Dipayan Dev
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Data Science and Big Data Analytics - EMC Education Services
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Java Deep Learning Essentials - Yusuke Sugomori
Deep Learning with Python - Francois Cholletf
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Deep Learning with Python - Francois Chollet
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Machine Learning with Python for everyone - Mark E.Fenner
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David