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 with Hadoop - Dipayan Dev
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning with PyTorch - Vishnu Subramanian
Deep Learning in Python - LazyProgrammer
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Intelligent Projects Using Python - Santanu Pattanayak
Introduction to the Math of Neural Networks - Jeff Heaton
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Neural Networks and Deep Learning - Charu C.Aggarwal
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Artificial Intelligence by example - Denis Rothman
Deep Learning for Natural Language Processing - Jason Brownlee
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Deep Learning with Theano - Christopher Bourez
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Medical Image Segmentation Using Artificial Neural Networks
An introduction to neural networks - Kevin Gurney & University of Sheffield
The hundred-page Machine Learning Book - Andriy Burkov
Python Deep Learning Cookbook - Indra den Bakker
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland