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
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Introduction to Scientific Programming with Python - Joakim Sundnes
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Python Machine Learning - Sebastian Raschka
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Deep Learning with Python - Francois Cholletf
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Fundamentals of Deep Learning - Nikhil Bubuma
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Intelligent Projects Using Python - Santanu Pattanayak
Introduction to Deep Learning - Eugene Charniak
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Medical Image Segmentation Using Artificial Neural Networks
Coding Theory - Algorithms, Architectures and Application
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Amazon Machine Learning Developer Guild Version Latest
Deep Learning with Python - Francois Chollet
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...