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
Introduction to the Math of Neural Networks - Jeff Heaton
Neural Networks - A visual introduction for beginners - Michael Taylor
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Medical Image Segmentation Using Artificial Neural Networks
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Deep Learning with Python - Francois Cholletf
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Intelligent Projects Using Python - Santanu Pattanayak
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning with Theano - Christopher Bourez
Artificial Intelligence by example - Denis Rothman
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Introduction to Scientific Programming with Python - Joakim Sundnes
Coding Theory - Algorithms, Architectures and Application
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Pattern recognition and machine learning - Christopher M.Bishop
Deep Learning with PyTorch - Vishnu Subramanian
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Python Machine Learning Eqution Reference - Sebastian Raschka
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Python Data Structures and Algorithms - Benjamin Baka