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
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Medical Image Segmentation Using Artificial Neural Networks
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
The hundred-page Machine Learning Book - Andriy Burkov
Artificial Intelligence by example - Denis Rothman
Data Science and Big Data Analytics - EMC Education Services
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Intelligent Projects Using Python - Santanu Pattanayak
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Deep Learning with PyTorch - Vishnu Subramanian
R Deep Learning Essentials - Dr. Joshua F.Wiley
Machine Learning with Python for everyone - Mark E.Fenner
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Amazon Machine Learning Developer Guild Version Latest
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Learn Keras for Deep Neural Networks - Jojo Moolayil
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Python Machine Learning - Sebastian Raschka
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Coding Theory - Algorithms, Architectures and Application
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke