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 and Deep Learning - Charu C.Aggarwal
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
An introduction to neural networks - Kevin Gurney & University of Sheffield
Python Machine Learning - Sebastian Raschka
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Neural Networks - A visual introduction for beginners - Michael Taylor
Data Science and Big Data Analytics - EMC Education Services
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Artificial Intelligence by example - Denis Rothman
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Deep Learning with Theano - Christopher Bourez
Deep Learning with PyTorch - Vishnu Subramanian
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Learn Keras for Deep Neural Networks - Jojo Moolayil
Deep Learning in Python - LazyProgrammer
Deep Learning with Applications Using Python - Navin Kumar Manaswi
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Introduction to the Math of Neural Networks - Jeff Heaton
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Pattern recognition and machine learning - Christopher M.Bishop
Python Deep Learning Cookbook - Indra den Bakker
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
