グラフ理論 Bayesian inference and MCMC open source software
Bayesian inference and MCMC open source software
Bayesian statistics means that not only the data, but also th...
数理論理学
グラフ理論 Symbolic Logic Protected: Causal InferenceIntroduction(2)Stratified Analysis and Regression Modeling
Theory and practice of causal inference through analysis by stratified analysis and regression models for statistical causal estimation used in digital transformation , artificial intelligence , and machine learning tasks
Symbolic Logic Protected: Introduction to Causal Inference (1) Confounding Factors and Randomized Experiments
Introduction to statistical causal inference (randomized experiments controlling for confounding factors to distinguish between causality and pseudo-correlation)
グラフ理論 Machine Learning Professional Series “Graphical Models” reading notes
Summary
Bayesian estimation can be one of the statistical methods for interpreting data and learning models from...
グラフ理論 Nonparametric Bayesian and Gaussian Processes
Overview
Nonparametric Bayes is a method of Bayesian statistics, an "old and new technique" that was already theo...
LISP Knowledge Information Processing Technologies
Overview of techniques for handling the most important knowledge information in artificial intelligence tasks.
推論技術:inference Technology Answer Set Programming: A Brief History of Logic Programming and ASP
A solution set program as a tool for representing complex knowledge information used in digital transformation and artificial intelligence tasks.
数理論理学 Gendai Shiso July 2020 Special Feature: The World of Sphere Theory — The Forefront of Modern Mathematics Reading Memo
Application of abstraction using sphere theory, an important theory in modern mathematics, to areas such as physics, computer science, biology, linguistics, and aesthetics.