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
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Python Deep Learning Cookbook - Indra den Bakker
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Introduction to Scientific Programming with Python - Joakim Sundnes
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Fundamentals of Deep Learning - Nikhil Bubuma
Introduction to Deep Learning - Eugene Charniak
Medical Image Segmentation Using Artificial Neural Networks
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning with Python - Francois Chollet
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Coding Theory - Algorithms, Architectures and Application
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Pro Deep Learning with TensorFlow - Santunu Pattanayak
An introduction to neural networks - Kevin Gurney & University of Sheffield
Learn Keras for Deep Neural Networks - Jojo Moolayil
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach