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 Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
An introduction to neural networks - Kevin Gurney & University of Sheffield
Python Deep Learning Cookbook - Indra den Bakker
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Coding Theory - Algorithms, Architectures and Application
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Introduction to the Math of Neural Networks - Jeff Heaton
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Python Data Structures and Algorithms - Benjamin Baka
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Deep Learning in Python - LazyProgrammer
Machine Learning with spark and python - Michael Bowles
Deep Learning with Python - Francois Chollet
Introduction to Scientific Programming with Python - Joakim Sundnes
R Deep Learning Essentials - Dr. Joshua F.Wiley
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
The hundred-page Machine Learning Book - Andriy Burkov
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
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
Superintelligence - Paths, Danges, Strategies - Nick Bostrom