Introduction to Cognitive… by Mark Watson [PDF/iPad/Kindle]
Introduction to Cognitive Computing
Introduction to Cognitive Computing
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Introduction to Cognitive Computing

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Completed on 2017-03-29

About the Book

We will start by reviewing Philosophy (study of Ontology's and Knowledge Representation), an overview of general Artificial Intelligence, Linguistics (understanding language will help us better extract useful information from English language text), and Neuroscience (to better understand how our minds work).

The home page for the resources for this book are both the author's web site www.markwatson.com and the github repository https://github.com/mark-watson/cognitive-computing-book

There are three parts to this book:

Part I - A Dive into Human Cognition and Cognitive Science

This section of the book will ground you in the science that forms the foundation of Cognition Technology with chapters on Philosophy (especially how it pertains to Knowledge Management and Knowledge Representation), Linguistics, general AI, and Neuroscience.

Part II - Using Machine Learning and Deep Learning Neural Networks to Model Cognition

We use Deep Learning Neural Networks for classification, logistic regression, Knowledge Representation, and Natural Language Processing. We start with some simple standalone programs (written in TypeScript, with JavaScipt versions also included) and then use Google's Tensorflow machine learning library for more complex examples. Tensorflow runs well for moderate size problems on your laptop and scales up using Google's Cloud Platform (or your own servers with GPU support). Currently deep learning networks are the most interesting and useful technology for modeling cognition. The author's primary personal interests in deep learning are NLP and language models.

Part III - Natural Language Processing and Knowledge Representation

Here we will dive deeper into practical applications of Natural Language Processing.

About the Author

Mark Watson
Mark Watson

Mark Watson a consultant specializing in machine learning, artificial intelligence, cognitive computing, and web engineering. He uses Java, Clojure, Haskell, Python, and Ruby for development.

He is the author of 23 published books on Artificial Intelligence, Java, Ruby, Machine Learning, Common LISP, Clojure, JavaScript, Semantic Web, NLP, C++, Linux, Scheme, and Windows.

Mark's consulting customer list includes: Google, CompassLabs, Disney, Sitescout.com, Embed.ly, and Webmind Corporation.

web site:  http://www.markwatson.com/

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