C/C++ C/C++ language and Rust
C/C++ language and various machine learning algorithms
Overview
The C/C++ language is a programming language u...
人工知能:Artificial Intelligence
C/C++ Symbolic Logic Inductive logic Programming 2017 Papers
Machine Learning Technology Artificial Intelligence Technology Natural Language Processing Technology Semantic Web Te...
Symbolic Logic Protected: Effectiveness of “nursery development” verified by difference in difference
Actual causal inference using the difference-in-differences method, one of the causal inference methods relationship between daycare center development and female employment rate
Symbolic Logic Protected: Estimating Bunt Effects Using Propensity Scores
Estimating baseball bunt effects using propensity scores as an application of causal inference for digital transformation, artificial intelligence, and machine learning tasks.
Symbolic Logic Protected: Application of causal effect estimation – Causal and adjustment effects of commercial contact
Specific applications of statistical causal inference used in digital transformation, artificial intelligence, and machine learning tasks (causal and adjusted effects of CM contact using average treatment effect ATE and average treatment effect ATT in treatment groups)
ベイズ推定 Iwanami Data Science – The World of Bayesian Modeling Reading Notes
Iwanami Data Science - The World of Bayesian Modeling Reading Notes
Memo for reading "Iwanami Data Science: Th...
Symbolic Logic From Inductive logic Programming 2016 Proceedings
ILP 2016 26th International Conference Inductive Logic Programming
In the previous article, we...
IOT技術:IOT Technology ISWC2021 Papers
ISWC2021 Papers
From ISWC2021, an international conference on Semantic Web technologies, one of the artificial...
Symbolic Logic Protected: Basics of Statistical Causal Effects (3)Operating Variable Method and Summary
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Symbolic Logic Protected: Basics of Statistical Causal Effects (2)Methods Using Regression Models and Matching and Stratified Analysis
Regression modeling methods for statistical causal inference utilized in digital transformation, artificial intelligence, and machine learning tasks; causal effect estimation using matching and stratified analysis methods