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:

Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning and Neural Networks - Jeff Heaton
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Neural Networks - A visual introduction for beginners - Michael Taylor
Introduction to the Math of Neural Networks - Jeff Heaton
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
An introduction to neural networks - Kevin Gurney & University of Sheffield
Intelligent Projects Using Python - Santanu Pattanayak
Deep Learning for Natural Language Processing - Jason Brownlee
Artificial Intelligence by example - Denis Rothman
Coding Theory - Algorithms, Architectures and Application
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Python Data Structures and Algorithms - Benjamin Baka
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Data Science and Big Data Analytics - EMC Education Services
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Python Machine Learning - Sebastian Raschka
Machine Learning with Python for everyone - Mark E.Fenner
Fundamentals of Deep Learning - Nikhil Bubuma