Clojure 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
人工知能:Artificial Intelligence
Clojure LISP The Seasoned Schemer
A sequel to the textbook on functional languages with Schema, a derivative of LISP used for artificial intelligence (AI) tasks.
LISP The Reasoned Schemer
Logic Programming with Schema, a Derivative of LISP Used for Artificial Intelligence (Tasks): An Overview of DSL:minikanren
LISP 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).
python 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.
prolog The Art of Prolog
A reference book on Prolog, a logic programming language with deep connections to artificial intelligence research and computational linguistics.
IOT技術:IOT Technology 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.
IOT技術:IOT Technology 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.
python A Textbook of Algorithms in Python
Python's Programming Basics and Algorithm Implementation Reference Book
機械学習:Machine Learning Protected: Capturing “Individuality” with Hierarchical Models (Hierarchical Bayesian Models and Empirical Bayesian Methods (GLMM))
Understanding "personality" in hierarchical Bayesian models and solving with empirical Bayesian methods (GLMM), which can be used for artificial intelligence (AI), natural language processing, and digital transformation (DX).