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
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Neural Networks - A visual introduction for beginners - Michael Taylor
Machine Learning with Python for everyone - Mark E.Fenner
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Deep Learning in Python - LazyProgrammer
Learn Keras for Deep Neural Networks - Jojo Moolayil
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Coding Theory - Algorithms, Architectures and Application
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
An introduction to neural networks - Kevin Gurney & University of Sheffield
The hundred-page Machine Learning Book - Andriy Burkov
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Deep Learning with PyTorch - Vishnu Subramanian
Introduction to the Math of Neural Networks - Jeff Heaton
Artificial Intelligence by example - Denis Rothman
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Deep Learning with Python - Francois Cholletf
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Deep Learning and Neural Networks - Jeff Heaton
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Medical Image Segmentation Using Artificial Neural Networks