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:

Coding Theory - Algorithms, Architectures and Application
Amazon Machine Learning Developer Guild Version Latest
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Neural Networks - A visual introduction for beginners - Michael Taylor
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Python Machine Learning Eqution Reference - Sebastian Raschka
Java Deep Learning Essentials - Yusuke Sugomori
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
The hundred-page Machine Learning Book - Andriy Burkov
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Machine Learning with Python for everyone - Mark E.Fenner
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Python Data Structures and Algorithms - Benjamin Baka
Deep Learning for Natural Language Processing - Jason Brownlee
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron