web技術:web technology Internet Technologies Overviews
Overview of web technologies for teaching beginners, about internet technologies, protocols such as network interface layer, internet layer, transport layer and application layer.
web技術:web technology 
読書 Court Inside: What the California Sea Taught Me
I would like to introduce "Coat Inside: What the California Sea Taught Me" by Daniel Duane, which is currently out of print. The book is a 26-chapter essay about dropping out of society and living on the coastline of Santa Cruz, California. It will be an essay consisting of 26 chapters spent in the fall, winter, and spring.
数学:Mathematics Decision Theory and Mathematical Decision Making Techniques
We will discuss mathematical decision-making techniques used in reinforcement learning, online prediction, and algorithms for high-speed automated stock trading. After describing the four decision strategies, I will introduce subjective probability, Bayesian theory, multiple concept theory, and supply rise theory.
Clojure Clojure stopword removal
The following are examples of implementations of the stop word processing used in the cleansing process of natural language processing in Clojure and pyhton.
Clojure Sorting (rearranging) data
As an introduction to data sorting, which is the basis of algorithms for the education of beginners, bubble sort, quick sort, merge sort, selection sort, and heap sort were explained. Sorting in Clojure was explained.
Clojure Iteration and recursion (C, Java, python, Clojure)
For beginners, I will haggish the iterative operations, which is a typical feature of structured languages in various languages (C, Python, Java, JavaScript, Clojure). I will also introduce recursive programming in Clojure.
Clojure Overview of tfidf and its implementation in Clojure
Clojure implementation of tfidf used in natural language processing
Symbolic Logic Behavior Trees and their implementation in Unity
Overview of artificial intelligence technology used in game AI, etc., state management using behavior trees, difference from FSM
機械学習:Machine Learning Protected: Matrix Decomposition -Extraction of relational features between two objects
Extraction of relationships by machine learning, matrix factorization approach, non-negative matrix factorization
機械学習:Machine Learning Protected: Clustering Techniques for Asymmetric Relational Data – Probabilistic Block Model and Infinite Relational Model
Machine Learning Extraction of Relationships, Probabilistic Block Model and Infinite Relation Model