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 Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Deep Learning with PyTorch - Vishnu Subramanian
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Medical Image Segmentation Using Artificial Neural Networks
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
The hundred-page Machine Learning Book - Andriy Burkov
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Fundamentals of Deep Learning - Nikhil Bubuma
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Artificial Intelligence by example - Denis Rothman
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Deep Learning and Neural Networks - Jeff Heaton
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Coding Theory - Algorithms, Architectures and Application
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning with Python - Francois Cholletf
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Neural Networks - A visual introduction for beginners - Michael Taylor
Deep Learning with Applications Using Python - Navin Kumar Manaswi