Artificial Intelligence – 101 things you must know today about our future – Lasse Rouhiainen

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.

Related posts:

R Deep Learning Essentials - Dr. Joshua F.Wiley
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Deep Learning with Hadoop - Dipayan Dev
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Medical Image Segmentation Using Artificial Neural Networks
Deep Learning for Natural Language Processing - Jason Brownlee
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Deep Learning with Python - Francois Cholletf
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Amazon Machine Learning Developer Guild Version Latest
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Artificial Intelligence by example - Denis Rothman
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Machine Learning with spark and python - Michael Bowles
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Coding Theory - Algorithms, Architectures and Application
The hundred-page Machine Learning Book - Andriy Burkov
Java Deep Learning Essentials - Yusuke Sugomori
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...