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
Python Deep Learning Cookbook - Indra den Bakker
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Introduction to the Math of Neural Networks - Jeff Heaton
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Coding Theory - Algorithms, Architectures and Application
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Data Science and Big Data Analytics - EMC Education Services
R Deep Learning Essentials - Dr. Joshua F.Wiley
Neural Networks and Deep Learning - Charu C.Aggarwal
Deep Learning for Natural Language Processing - Jason Brownlee
Java Deep Learning Essentials - Yusuke Sugomori
Fundamentals of Deep Learning - Nikhil Bubuma
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Deep Learning and Neural Networks - Jeff Heaton
Deep Learning with Python - Francois Chollet
Deep Learning with PyTorch - Vishnu Subramanian
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Deep Learning with Python - Francois Cholletf
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Machine Learning with Python for everyone - Mark E.Fenner
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Neural Networks - A visual introduction for beginners - Michael Taylor