LISP and Artificial Intelligence
About LISP, a functional language that eliminates the barrier between data and programs (program as data) used for artificial intelligence (AI) tasks
The Seasoned Schemer
A sequel to the textbook on functional languages with Schema, a derivative of LISP used for artificial intelligence (AI) tasks.
The Reasoned Schemer
Logic Programming with Schema, a Derivative of LISP Used for Artificial Intelligence (Tasks): An Overview of DSL:minikanren
The Little Schemer
A textbook on functional languages in Schema, a derivative of LISP used for AI tasks (recursion and anonymous functions, lambda functions, Y-combinators and a simple interpreter).
Protected: Introduction to programming in the Python language (2) Characteristics of the Python language
Table of contents for the MIT Python textbook and features of the Python language used for digital transformation (DX) and artificial intelligence (AI) tasks.
Schema Matching and Mapping
Reference books on schema matching techniques that automatically and efficiently match, exchange, transform, and integrate large data sets from different sources and with different structures.
The Art of Prolog
A reference book on Prolog, a logic programming language with deep connections to artificial intelligence research and computational linguistics.
Protected: An Invitation to Spatial Epidemiology – What can we see from the map of intractable diseases?
Geographic information analysis for epidemiology using Poisson-Gamma model, CDT and scan statistic test for digital transformation and artificial intelligence tasks.
Protected: Introduction to Customer Motivation Research
HMM, k-medoids, and kernel density estimation for customer flow analysis used in digital transformation and artificial intelligence tasks.
Protected: Hierarchical Bayesian Modeling on a Map
Application of Hierarchical Bayesian Inference to Geospatial Information for Digital Transformation and Artificial Intelligence Tasks (OpenBUGS) and Visualization with mandara