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 with Applications Using Python - Navin Kumar Manaswi
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Java Deep Learning Essentials - Yusuke Sugomori
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Amazon Machine Learning Developer Guild Version Latest
Pattern recognition and machine learning - Christopher M.Bishop
Deep Learning and Neural Networks - Jeff Heaton
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning with Python - Francois Chollet
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Neural Networks - A visual introduction for beginners - Michael Taylor
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Deep Learning with PyTorch - Vishnu Subramanian
Coding Theory - Algorithms, Architectures and Application
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Introduction to the Math of Neural Networks - Jeff Heaton
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Python Machine Learning - Sebastian Raschka
