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 dummies second edition - John Paul Mueller & Luca Massaronf
Data Science and Big Data Analytics - EMC Education Services
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Fundamentals of Deep Learning - Nikhil Bubuma
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Python Machine Learning Eqution Reference - Sebastian Raschka
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Coding Theory - Algorithms, Architectures and Application
Deep Learning with PyTorch - Vishnu Subramanian
Intelligent Projects Using Python - Santanu Pattanayak
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Python Data Structures and Algorithms - Benjamin Baka
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Artificial Intelligence by example - Denis Rothman
Deep Learning with Python - Francois Chollet
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Python Machine Learning - Sebastian Raschka
Introduction to Deep Learning - Eugene Charniak
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning in Python - LazyProgrammer
Python Deep Learning Cookbook - Indra den Bakker
Pattern recognition and machine learning - Christopher M.Bishop
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville