Natural Language Processing Technology
An overview of natural language processing as a base technology in digital transformation (DX), artificial intelligence (AI), and machine learning (ML)
人工知能:Artificial Intelligence
General Machine Learning and Data Analysis
Overview of machine learning for beginners, differences between types of learning and results, no-free lunch theorem as a frame for machine learning.
Clustering with R – k-means
Machine learning using R, unsupervised, non-hierarchical classification using k-means
hierarchical clustering with R
Machine learning using R, classification with hierarchical clustering function hclust
R Language Preferences
Overview of machine learning using R, setting up the environment and handling data
Reference books on machine learning with R
Overview of machine learning with R, history of R and introduction to reference books
Openrefine: Data cleansing tool
Overview of openrefine, a natural language processing tool used in DX and the Semantic Web
Protected: Data Compression Algorithms(2)Lossy compression
Data Compression Algorithm Overview, Lossy Data Compression Algorithm, Exclusion Trick, Content Summary
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)
Sentence classification using liblinear and natural language processing
Classification in liblinear with Clojure, a natural language processing tool., liblinear, SVM, classification with Clojure