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 Mastery with Python - Understand your data, create accurate models and work project...
Neural Networks and Deep Learning - Charu C.Aggarwal
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Python Deep Learning Cookbook - Indra den Bakker
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Python Machine Learning Eqution Reference - Sebastian Raschka
Neural Networks - A visual introduction for beginners - Michael Taylor
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
R Deep Learning Essentials - Dr. Joshua F.Wiley
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Learn Keras for Deep Neural Networks - Jojo Moolayil
Introduction to the Math of Neural Networks - Jeff Heaton
Deep Learning with Python - Francois Chollet
Coding Theory - Algorithms, Architectures and Application
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Introduction to Scientific Programming with Python - Joakim Sundnes
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron