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
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Deep Learning with Python - Francois Chollet
Python Machine Learning Eqution Reference - Sebastian Raschka
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Machine Learning with spark and python - Michael Bowles
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Deep Learning with Hadoop - Dipayan Dev
Introduction to Deep Learning - Eugene Charniak
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning with Python - Francois Cholletf
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Intelligent Projects Using Python - Santanu Pattanayak
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Pattern recognition and machine learning - Christopher M.Bishop
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Fundamentals of Deep Learning - Nikhil Bubuma
Neural Networks - A visual introduction for beginners - Michael Taylor
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
The hundred-page Machine Learning Book - Andriy Burkov
Machine Learning with Python for everyone - Mark E.Fenner
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
