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
Data Science and Big Data Analytics - EMC Education Services
Introduction to the Math of Neural Networks - Jeff Heaton
Coding Theory - Algorithms, Architectures and Application
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
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Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Python Data Structures and Algorithms - Benjamin Baka
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Deep Learning with PyTorch - Vishnu Subramanian
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Artificial Intelligence by example - Denis Rothman
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Python Deep Learning Cookbook - Indra den Bakker
Intelligent Projects Using Python - Santanu Pattanayak
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
R Deep Learning Essentials - Dr. Joshua F.Wiley
Neural Networks and Deep Learning - Charu C.Aggarwal
Deep Learning with Theano - Christopher Bourez
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Neural Networks - A visual introduction for beginners - Michael Taylor
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Python Machine Learning - Sebastian Raschka
