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
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Medical Image Segmentation Using Artificial Neural Networks
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning and Neural Networks - Jeff Heaton
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Neural Networks - A visual introduction for beginners - Michael Taylor
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Pattern recognition and machine learning - Christopher M.Bishop
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Deep Learning with PyTorch - Vishnu Subramanian
Machine Learning with spark and python - Michael Bowles
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Artificial Intelligence by example - Denis Rothman
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Introduction to Deep Learning - Eugene Charniak
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Pro Deep Learning with TensorFlow - Santunu Pattanayak
R Deep Learning Essentials - Dr. Joshua F.Wiley
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Python Machine Learning - Sebastian Raschka
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Python Deep Learning Cookbook - Indra den Bakker
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
