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 - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Deep Learning with Hadoop - Dipayan Dev
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Fundamentals of Deep Learning - Nikhil Bubuma
Deep Learning in Python - LazyProgrammer
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Java Deep Learning Essentials - Yusuke Sugomori
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Neural Networks and Deep Learning - Charu C.Aggarwal
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Coding Theory - Algorithms, Architectures and Application
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning and Neural Networks - Jeff Heaton
Intelligent Projects Using Python - Santanu Pattanayak
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Python Machine Learning Eqution Reference - Sebastian Raschka
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Python Machine Learning - Sebastian Raschka
Learn Keras for Deep Neural Networks - Jojo Moolayil
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Amazon Machine Learning Developer Guild Version Latest
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Python Deep Learning Cookbook - Indra den Bakker
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...