AI | Page 29 | Deus Ex Machina

Protected: Time series data analysis (2) Filtering Sequential estimation of state and seasonal adjustment model

Prediction of time series using state-space models of time series data utilized in digital transformation, artificial intelligence, and machine learning; interpolation, parameter estimation, and analysis of store sales using component decomposition and standard seasonal adjustment models.

2022.05.18

IOT技術:IOT TechnologyStream Data Processing微分積分:Calculus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

Protected: React practice starting with the basics of modern Javascript – React Basics (1) Basics with JSX and how to use components.

The basics of using JSX and its components as the foundation of React, a front-end technology used for digital transformation, artificial intelligence, and machine learning tasks

2022.05.17

CSSjavascriptweb技術: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

Protected: Introduction to Amazon Web Services Networking (4) Connecting and Checking Instances to the Internet

Configuration of public IPs to EC2 instances and Internet gateways in building AWS cloud services for use in digital transformation, artificial intelligence, and machine learning tasks, and verification via SSH

2022.05.16

IOT技術:IOT Technologyweb技術:web technologyデータベース技術:DataBase Technology非同期/並行処理:Asynchronous/parallel processing

Protected: Time Series Data Analysis (1) – State Space Model

Overview of various state-space models linear and Gaussian state-space models, AR models, autoregressive and moving average ARMA models, component decomposition models, and time-varying coefficient models) for time series data analysis used in digital transformation, artificial intelligence, and machine learning tasks

2022.05.13

Stream Data Processingアルゴリズム:Algorithmsオンライン学習時系列データ解析最適化:Optimization機械学習:Machine Learning異常検知・変化検知線形代数:Linear Algebra

Protected: Structural regularization learning using submodular optimization (2) Structural sparsity obtained from submodular functions

Structural regularization learning (coupled Lasso and Lovász extensions) by structural sparsity obtained from submodular functions in submodular optimization, an optimization method for discrete information used in digital transformation, artificial intelligence, and machine learning tasks.

2022.05.11

アルゴリズム:Algorithmsグラフ理論スパースモデリング微分積分:Calculus数理論理学:Mathematical logic最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics関係データ学習

Protected: Introduction to Amazon Web Services Networking (3) Overview and Deployment of EC2 Instances

Overview of EC2 and procedures for launching AWS cloud services for digital transformation, artificial intelligence, and machine learning tasks

2022.05.10

web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

Protected: Web page development using Laravel (5) Application architecture

Overview of application architecture (MVC, ADR) in Laravel, a web application framework in PHP used for digital transformation , artificial intelligence and machine learning tasks

2022.05.09

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

Protected: Structural regularization learning with submodular optimization (1) Regularization and p-norm review

Review of sparse modeling, regularization and p-norm to consider structural regularization learning with submodular optimization, an optimization technique for discrete information for digital transformation, artificial intelligence and machine learning tasks

2022.05.06

IOT技術:IOT TechnologyStream Data Processingアルゴリズム:Algorithmsグラフ理論データベース技術: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微分積分:Calculus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

Protected: Maximum Flow and Graph Cut (4) Graphically Representable Submodular Functions

Maximum flow algorithms and pre-flow push methods in graphically representable submodular functions for submodular optimization, an optimization approach for discrete information utilized in digital transformation, artificial intelligence, and machine learning tasks

2022.05.05

IOT技術:IOT TechnologyStream Data Processingアルゴリズム:Algorithmsグラフ理論セマンテックウェブ技術:Semantic web Technology微分積分:Calculus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

Protected: Maximum Flow and Graph Cut (3) Inference and Graph Cut in Markov Stochastic Fields

Inference and graph cuts in Markov stochastic fields for graph maximal flow extraction by undermodular optimization, a discrete information optimization method for digital transformation, artificial intelligence, and machine learning tasks

2022.05.04

Symbolic Logicアルゴリズム:Algorithmsグラフ理論幾何学:Geometry微分積分:Calculus推論技術:inference Technology数理論理学:Mathematical logic最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics関係データ学習