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.
Artificial Intelligence – 101 things you must know today about our future – Lasse Rouhiainen
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Deep Learning with Python - Francois Cholletf
Introduction to Deep Learning - Eugene Charniak
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
The hundred-page Machine Learning Book - Andriy Burkov
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Intelligent Projects Using Python - Santanu Pattanayak
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Deep Learning with Python - Francois Chollet
Deep Learning in Python - LazyProgrammer
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Machine Learning with Python for everyone - Mark E.Fenner
Data Science and Big Data Analytics - EMC Education Services
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
R Deep Learning Essentials - Dr. Joshua F.Wiley
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Artificial Intelligence by example - Denis Rothman
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Deep Learning with Hadoop - Dipayan Dev
Coding Theory - Algorithms, Architectures and Application
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Neural Networks - A visual introduction for beginners - Michael Taylor