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:

Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Python Data Structures and Algorithms - Benjamin Baka
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Deep Learning in Python - LazyProgrammer
Machine Learning with Python for everyone - Mark E.Fenner
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Fundamentals of Deep Learning - Nikhil Bubuma
Data Science and Big Data Analytics - EMC Education Services
Introduction to Scientific Programming with Python - Joakim Sundnes
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Python Machine Learning - Sebastian Raschka
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Coding Theory - Algorithms, Architectures and Application
Medical Image Segmentation Using Artificial Neural Networks
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Neural Networks - A visual introduction for beginners - Michael Taylor
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Deep Learning and Neural Networks - Jeff Heaton
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Java Deep Learning Essentials - Yusuke Sugomori
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Amazon Machine Learning Developer Guild Version Latest
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho