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:

Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Neural Networks and Deep Learning - Charu C.Aggarwal
Neural Networks - A visual introduction for beginners - Michael Taylor
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Java Deep Learning Essentials - Yusuke Sugomori
Deep Learning with Hadoop - Dipayan Dev
Python Machine Learning Eqution Reference - Sebastian Raschka
Introduction to the Math of Neural Networks - Jeff Heaton
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Deep Learning with Python - Francois Chollet
Deep Learning with Theano - Christopher Bourez
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
An introduction to neural networks - Kevin Gurney & University of Sheffield
Introduction to Scientific Programming with Python - Joakim Sundnes
Deep Learning with Python - Francois Cholletf
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning with PyTorch - Vishnu Subramanian