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 for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Deep Learning with Python - Francois Cholletf
Python Deep Learning Cookbook - Indra den Bakker
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning with PyTorch - Vishnu Subramanian
Deep Learning with Theano - Christopher Bourez
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Machine Learning with spark and python - Michael Bowles
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Deep Learning with Python - Francois Chollet
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Machine Learning with Python for everyone - Mark E.Fenner
Learn Keras for Deep Neural Networks - Jojo Moolayil
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Deep Learning for Natural Language Processing - Jason Brownlee
Deep Learning and Neural Networks - Jeff Heaton
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Artificial Intelligence by example - Denis Rothman