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
Neural Networks - A visual introduction for beginners - Michael Taylor
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Python Machine Learning Eqution Reference - Sebastian Raschka
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Machine Learning with spark and python - Michael Bowles
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Neural Networks and Deep Learning - Charu C.Aggarwal
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Fundamentals of Deep Learning - Nikhil Bubuma
Python Deep Learning Cookbook - Indra den Bakker
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Deep Learning with Hadoop - Dipayan Dev
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Medical Image Segmentation Using Artificial Neural Networks
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Deep Learning and Neural Networks - Jeff Heaton
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Introduction to the Math of Neural Networks - Jeff Heaton
Intelligent Projects Using Python - Santanu Pattanayak
Learn Keras for Deep Neural Networks - Jojo Moolayil
Coding Theory - Algorithms, Architectures and Application
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
