About the Book
I believe the the path to real Artificial General Intelligence (AGI) will depend on deep learning, symbolic AI, probabilistic programming, and knowledge representation. While I cover deep learning, probabilistic graph models, probabilistic logic programming, and general AI programming in my book Python Intelligent Systems, in this book I drill down into using deep learning Natural Language Processing (NLP) to help automate the creation of Knowledge Graphs, use deep learning embeddings to create and maintain additional relationships in Knowledge Graphs, and integrating both deep learning and Knowledge Graphs in larger systems.
About the Author
Mark Watson a consultant specializing in deep learning, machine learning, and general artificial intelligence software development. He uses Python, Common Lisp, Java, Clojure, Haskell, and Ruby for development.
Mark's consulting customer list includes: Google, Capital One, CompassLabs, Disney, Sitescout.com, Embed.ly, and Webmind Corporation.
web site: https://markwatson.com/