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
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Neural Networks - A visual introduction for beginners - Michael Taylor
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Deep Learning and Neural Networks - Jeff Heaton
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Intelligent Projects Using Python - Santanu Pattanayak
An introduction to neural networks - Kevin Gurney & University of Sheffield
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Pro Deep Learning with TensorFlow - Santunu Pattanayak
R Deep Learning Essentials - Dr. Joshua F.Wiley
Amazon Machine Learning Developer Guild Version Latest
Machine Learning with spark and python - Michael Bowles
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning for Natural Language Processing - Jason Brownlee
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Medical Image Segmentation Using Artificial Neural Networks
Introduction to Scientific Programming with Python - Joakim Sundnes
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Python Deep Learning Cookbook - Indra den Bakker