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
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Neural Networks - A visual introduction for beginners - Michael Taylor
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Intelligent Projects Using Python - Santanu Pattanayak
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Machine Learning with Python for everyone - Mark E.Fenner
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Python Machine Learning - Sebastian Raschka
Java Deep Learning Essentials - Yusuke Sugomori
Medical Image Segmentation Using Artificial Neural Networks
Deep Learning with PyTorch - Vishnu Subramanian
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Python Deep Learning Cookbook - Indra den Bakker
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Deep Learning and Neural Networks - Jeff Heaton
Machine Learning with spark and python - Michael Bowles
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...