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
Machine Learning with spark and python - Michael Bowles
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Java Deep Learning Essentials - Yusuke Sugomori
Artificial Intelligence by example - Denis Rothman
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Pattern recognition and machine learning - Christopher M.Bishop
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Neural Networks - A visual introduction for beginners - Michael Taylor
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Learn Keras for Deep Neural Networks - Jojo Moolayil
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Introduction to the Math of Neural Networks - Jeff Heaton
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Deep Learning with PyTorch - Vishnu Subramanian
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Intelligent Projects Using Python - Santanu Pattanayak
Python Machine Learning Eqution Reference - Sebastian Raschka
Deep Learning for Natural Language Processing - Jason Brownlee