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 Python for everyone - Mark E.Fenner
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Medical Image Segmentation Using Artificial Neural Networks
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Data Science and Big Data Analytics - EMC Education Services
Deep Learning in Python - LazyProgrammer
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
An introduction to neural networks - Kevin Gurney & University of Sheffield
Java Deep Learning Essentials - Yusuke Sugomori
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Fundamentals of Deep Learning - Nikhil Bubuma
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Deep Learning with Theano - Christopher Bourez
Introduction to Scientific Programming with Python - Joakim Sundnes
Neural Networks and Deep Learning - Charu C.Aggarwal
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Deep Learning with Hadoop - Dipayan Dev
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Amazon Machine Learning Developer Guild Version Latest
Deep Learning for Natural Language Processing - Jason Brownlee
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants