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
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Java Deep Learning Essentials - Yusuke Sugomori
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Deep Learning and Neural Networks - Jeff Heaton
Machine Learning with Python for everyone - Mark E.Fenner
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Neural Networks and Deep Learning - Charu C.Aggarwal
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Python Machine Learning - Sebastian Raschka
Deep Learning with Theano - Christopher Bourez
Coding Theory - Algorithms, Architectures and Application
Deep Learning for Natural Language Processing - Jason Brownlee
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Neural Networks - A visual introduction for beginners - Michael Taylor
Machine Learning with spark and python - Michael Bowles
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
The hundred-page Machine Learning Book - Andriy Burkov
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Python Deep Learning Cookbook - Indra den Bakker
Pattern recognition and machine learning - Christopher M.Bishop
Deep Learning with Hadoop - Dipayan Dev