About the Book
Updated June 7, 2020: I added two chapters on using the Bing Search APIs and on my Knowledge Graph Navigator project. Several other minor changes.
While this is a book on the Hy Lisp language,
In addition to being a tutorial and cookbook on using the Hy language, longer examples explore a variety of different applications and tools. The current structure of the book is:
- Introduction to the Hy Language
- Why use Lisp? Advantages of bottom up development using macros and closures
- Relational databases
- Web app development
- Web scraping
- Using the Bing search APIs
- Accessing semantic web and linked data sources like Wikipedia, DBpedia, and Wikidata
- Automatically constructing Knowledge Graphs from text documents, semantic web and linked data
- Deep Learning (predictive model from spreadsheet data and a LSTM-based English text language model)
- Natural Language Processing (NLP) using Deep Learning
- Creating Knowledge Graphs from text data
- Hy language implementation of the author's Knowledge Graph Navigator project
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/