Deus Ex Machina

Protected: Quasi-experimental design – how to derive causal relationships from observed data

How to verify causality for digital transformation, artificial intelligence , and machine learning tasks by first having the data for causal inference and then verifying causality from there.

2022.03.25

Symbolic Logicグラフ理論推論技術:inference Technology数理論理学機械学習:Machine Learning確率・統計:Probability and Statistics関係データ学習

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

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

Protected: Discrepancy between correlation (regression coefficient) and causation (intervention effect)

Differences between regression coefficients and intervention effect values for digital transformation, artificial intelligence , and machine learning tasks.

2022.03.22

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

Submodular Optimization and Machine Learning

Overview of Machine Learning with Submodular Optimization Submodular functions are a concept corresponding to c...

2022.03.21

IOT技術:IOT TechnologyStream Data Processingアルゴリズム:Algorithms最適化:Optimization機械学習:Machine Learning

Machine Learning Professional Series “Submodular Optimization and Machine Learning” reading notes

Machine Learning Professional Series "Submodular Optimization and Machine Learning" reading notes Submodular f...

2022.03.21

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

Collecting AI Conference Papers

Collecting AI Conference Papers The overall picture of the AI conference is as follows. AI-related con...

2022.03.21

ICT技術:ICT Technology人工知能:Artificial Intelligence

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...

2022.03.20

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

Machine Learning Startup Series – Introduction to Machine Learning with Bayesian Inference Reading Notes

Summary Bayesian estimation can be one of the statistical methods for interpreting data and learning models fro...

2022.03.20

グラフ理論ベイズ推定微分積分:Calculus推論技術:inference Technology最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics

From Inductive logic Programming 2011 Proceedings

Machine Learning Technology Artificial Intelligence Technology Natural Language Processing Technology Semantic Web Te...

2022.03.20

Symbolic Logicアルゴリズム:Algorithmsエキスパートシステム:expertsystemグラフ理論セマンテックウェブ技術:Semantic web Technology推論技術:inference Technology最適化:Optimization検索技術:Search Technology