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 the Math of Neural Networks - Jeff Heaton
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Deep Learning in Python - LazyProgrammer
Deep Learning with Python - Francois Chollet
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Machine Learning with spark and python - Michael Bowles
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Introduction to Deep Learning - Eugene Charniak
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Learn Keras for Deep Neural Networks - Jojo Moolayil
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
An introduction to neural networks - Kevin Gurney & University of Sheffield
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning with Hadoop - Dipayan Dev
Pro Deep Learning with TensorFlow - Santunu Pattanayak
R Deep Learning Essentials - Dr. Joshua F.Wiley
Amazon Machine Learning Developer Guild Version Latest
Python Data Structures and Algorithms - Benjamin Baka
Machine Learning with Python for everyone - Mark E.Fenner