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:

Deep Learning and Neural Networks - Jeff Heaton
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
The hundred-page Machine Learning Book - Andriy Burkov
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Pattern recognition and machine learning - Christopher M.Bishop
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Python Machine Learning - Sebastian Raschka
Amazon Machine Learning Developer Guild Version Latest
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Neural Networks and Deep Learning - Charu C.Aggarwal
Coding Theory - Algorithms, Architectures and Application
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Python Machine Learning Eqution Reference - Sebastian Raschka
Deep Learning for Natural Language Processing - Jason Brownlee
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Deep Learning with Python - Francois Cholletf
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning with Python - Francois Chollet
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Pro Deep Learning with TensorFlow - Santunu Pattanayak