自然言語処理:Natural Language Processing Openrefine: Data cleansing tool
Overview of openrefine, a natural language processing tool used in DX and the Semantic Web
人工知能:Artificial Intelligence
自然言語処理:Natural Language Processing アルゴリズム:Algorithms Protected: Data Compression Algorithms(2)Lossy compression
Data Compression Algorithm Overview, Lossy Data Compression Algorithm, Exclusion Trick, Content Summary
機械学習:Machine Learning Protected: Bayesian Estimation and Information Theory
Bayesian estimation and information theory for artificial intelligence (AI), machine learning (ML), and natural language processing (NLP), from de Moivre's probability theory to Bayesian probability and Shannon's information engineering and tools for Bayesian estimation (STAN)
Clojure Sentence classification using liblinear and natural language processing
Classification in liblinear with Clojure, a natural language processing tool., liblinear, SVM, classification with Clojure
Clojure k-means and Clojure
Natural language processing tools, classification with k-means using Clojure, unsupervised learning
web技術:web technology Semantic media Wiki
On the implementation of semanticmediawiki, a semantic web tool for digital transformation (DX), artificial intelligence (AI), and machine learning (ML)
IOT技術:IOT Technology SW technology, IOT and smart city
Semantci web technologies, smart cities and Markov logic networks used for digital transformation (DX), machine learning (ML) and artificial intelligence (AI)
機械学習:Machine Learning Integration of probability and logic (1) Bayesian Net, KBMC, PRM and SRL
Integration of probability and logic, automatic generation of Bayesian nets using knowledge base (KBMC), prolog, backward reasoning
幾何学:Geometry Fundamentals of Computer Mathematics
Overview of computer mathematics as a basis for artificial intelligence and machine learning techniques, functions, sets, probability, simultaneous equations, differentiation, and integration.
哲学:philosophy The difference between causation and correlation
Consideration of causality and correlation as the basis for models of artificial intelligence and machine learning