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
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Neural Networks and Deep Learning - Charu C.Aggarwal
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Machine Learning with spark and python - Michael Bowles
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Introduction to Scientific Programming with Python - Joakim Sundnes
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Learn Keras for Deep Neural Networks - Jojo Moolayil
Python Deep Learning Cookbook - Indra den Bakker
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Artificial Intelligence by example - Denis Rothman
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Python Data Structures and Algorithms - Benjamin Baka