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 Machine Learning with Python - Andreas C.Muller & Sarah Guido
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Intelligent Projects Using Python - Santanu Pattanayak
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Introduction to Deep Learning - Eugene Charniak
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning with Theano - Christopher Bourez
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Fundamentals of Deep Learning - Nikhil Bubuma
Deep Learning with Hadoop - Dipayan Dev
Deep Learning for Natural Language Processing - Jason Brownlee
Neural Networks - A visual introduction for beginners - Michael Taylor
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Deep Learning in Python - LazyProgrammer
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Python Deep Learning Cookbook - Indra den Bakker
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning with PyTorch - Vishnu Subramanian
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Deep Learning and Neural Networks - Jeff Heaton