Deus Ex Machina

Protected: Graph Neural Networks (1) Overview

An overview of machine learning using graph neural networks for use in digital transformation (DX) and artificial intelligence (AI). On graph convolutional algorithms for chemical combination and natural language processing.

2021.08.10

機械学習:Machine Learning深層学習:Deep Learning

Protected: Theory of noiseless L1-norm minimization(The problem of finding sparse solutions that satisfy linear equations)

Sparse model machine learning and norms for data compression and feature extraction

2021.08.09

スパースモデリング機械学習:Machine Learning

Protected: Machine Learning Based on Sparsity (3) Introduction of Sparsity and L1 Norm

Sparse model machine learning and norms for data compression and feature extraction

2021.08.08

スパースモデリング機械学習:Machine Learning

Protected: Machine Learning Based on Sparsity (2) Machine Learning Basics, Norm and Regularization

Basics of efficient machine learning using sparsity, norm and regularization

2021.08.07

スパースモデリング機械学習:Machine Learning

Machine learning with sparsity

Sparse model machine learning for data compression and feature extraction

2021.08.06

スパースモデリング機械学習:Machine Learning

Protected: Explainable Machine Learning (8) Model-independent interpretation (ICE plot)

On ICE plot, one of the posterior interpretation models that can be explained and used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML).

2021.08.05

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning

Protected: Explainable Machine Learning (7) Model Independent Interpretation (PDP)

PDPs, one of the posterior interpretation models that can be used to explain digital transformation (DX), artificial intelligence (AI), and machine learning (ML)

2021.08.04

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning

Protected: Analysis of Time Series Data (4) ARCH Model and GARCH Model

Basic analysis of time series data used in digital transformation (DX), machine learning (ML), artificial intelligence (AI), and IOT, and ARCH and GARCH models

2021.08.03

IOT技術:IOT TechnologyStream Data Processing推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: Analysis of Time Series Data (3) Analysis of Time Dependent Data and AR Model

Basic analysis of time series data used in digital transformation (DX), machine learning (ML), artificial intelligence (AI), and IOT, AR models, random walks, and white noise

2021.08.02

セマンテックウェブ技術:Semantic web Technology推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics

Foundation

Introduction to Isaac Asimov's classic science fiction, Foundation, and its relationship to current artificial intelligence technology.

2021.08.01

テクノロジー:Technology読書