ML

Symbolic Logic

Protected: Fundamentals of Submodular Optimization (1) Definition and Examples of Submodular Functions

Submodular functions (cover functions, graph cut functions, concave functions) and optimization as a basis for discrete information optimization algorithms for digital transformation, artificial intelligence, and machine learning tasks
2022.04.13
Symbolic Logicアルゴリズム:Algorithmsグラフ理論推論技術:inference Technology数理論理学最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics関係データ学習
web技術:web technology

Protected: Introduction to Amazon Web Services Networking(1) – On-Premise Systems and AWS Overview

Fundamentals for building AWS cloud services for digital transformation, artificial intelligence, and machine learning task utilization (differences from on-premise systems and AWS system configuration overview)
2022.04.12
web技術:web technologyデータベース技術:DataBase Technology非同期/並行処理:Asynchronous/parallel processing
PHP

Web page development using Laravel (1) Overview of Laravel and environment settings

Overview of Laravel, a low learning cost Docker-based web page creation framework used for digital transformation, artificial intelligence, and machine learning tasks, and how to set up your environment
2022.04.11
PHPweb技術:web technologyデータベース技術:DataBase Technologyユーザーインターフェース/データビジュアライゼーション
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
2022.04.08
Symbolic Logicグラフ理論推論技術:inference Technology数理論理学:Mathematical logic時系列データ解析最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics関係データ学習
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.
2022.04.07
Symbolic Logicグラフ理論推論技術:inference Technology数理論理学最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics
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)
2022.04.06
Symbolic Logicグラフ理論推論技術:inference Technology数理論理学最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics関係データ学習
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
2022.03.30
Symbolic Logicグラフ理論推論技術:inference Technology数理論理学最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics
Symbolic Logic

Protected: Basics of Statistical Causal Effects (1)Definition of Causal Effects Based on the Rubin Effect Model

Definition of causal effects and estimation of statistical causal effects (ATT, ATU, ATE) based on the Rubin effect model used for digital transformation, artificial intelligence and machine learning tasks
2022.03.29
Symbolic Logicグラフ理論推論技術:inference Technology数理論理学最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics
javascript

Protected: React Practice Starting with Modern Javascript Basics – What is Modern Javascript ?

Modern Javascript fundamentals for React practices used for digital transformation , artificial intelligence and machine learning tasks virtual DOM, package manager, ES2015 and later, modular handlers, transpilers, SPA
2022.03.24
javascriptweb技術:web technologyセマンテックウェブ技術:Semantic web Technologyユーザーインターフェース/データビジュアライゼーション非同期/並行処理:Asynchronous/parallel processing
Symbolic Logic

Protected: Correlation, Causation and Relational Structure (2) Backdoor Criteria

Actual backdoor criteria for narrowing down variables to observe intervention effects in causal inference for digital transformation , artificial intelligence, and machine learning tasks
2022.03.23
Symbolic Logicグラフ理論ベイズ推定推論技術:inference Technology数理論理学最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics
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