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
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Machine Learning with Python for everyone - Mark E.Fenner
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Neural Networks - A visual introduction for beginners - Michael Taylor
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Amazon Machine Learning Developer Guild Version Latest
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
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
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Deep Learning with Python - Francois Cholletf
An introduction to neural networks - Kevin Gurney & University of Sheffield
Java Deep Learning Essentials - Yusuke Sugomori
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Medical Image Segmentation Using Artificial Neural Networks
Neural Networks and Deep Learning - Charu C.Aggarwal
Learn Keras for Deep Neural Networks - Jojo Moolayil
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Pattern recognition and machine learning - Christopher M.Bishop
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Deep Learning with PyTorch - Vishnu Subramanian
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy