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
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Fundamentals of Deep Learning - Nikhil Bubuma
Python Machine Learning Eqution Reference - Sebastian Raschka
Medical Image Segmentation Using Artificial Neural Networks
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Deep Learning for Natural Language Processing - Jason Brownlee
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Machine Learning with Python for everyone - Mark E.Fenner
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Deep Learning and Neural Networks - Jeff Heaton
Artificial Intelligence by example - Denis Rothman
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Deep Learning with Applications Using Python - Navin Kumar Manaswi
The hundred-page Machine Learning Book - Andriy Burkov
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Java Deep Learning Essentials - Yusuke Sugomori
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
R Deep Learning Essentials - Dr. Joshua F.Wiley
Deep Learning with Python - Francois Chollet