自然言語処理:Natural Language Processing 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)
Beginner
自然言語処理:Natural Language Processing 機械学習:Machine Learning 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.
python Clustering with R – k-means
Machine learning using R, unsupervised, non-hierarchical classification using k-means
R hierarchical clustering with R
Machine learning using R, classification with hierarchical clustering function hclust
R R Language Preferences
Overview of machine learning using R, setting up the environment and handling data
R Reference books on machine learning with R
Overview of machine learning with R, history of R and introduction to reference books
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
web技術:web technology Web server and DB integration(1)Setting up a server in Clojure
Implementing a server in Clojure for web server and DB integration, and using Ring to launch a web server
web技術:web technology Web server and DB integration(2)
Implementing routing in Clojure for web server and DB Implementing routing in Clojure for web server and DB, Ring, Routing with Compojure
データベース技術:DataBase Technology Databases Technology
Overview of database technology, CRUD (Create (add new data) - Read (reference data) - Update (update data) - Delete (delete data)), ACID (Atom (atomicity), Consistent (integrity), Isolated (isolation), Durable (Atom), Consistency, Isolated, Durable), CAP (Consistency, Availability, Partition-Tolerance)