機械学習:Machine Learning

Protected: Bayesian Super Quick Learning (Basics of Bayesian Estimation and Hierarchical Bayesian Models)

The basics of Bayesian inference and hierarchical Bayesian models that can be used for various tasks, including state space models, hidden Markov models, Markov field models, and CAR models.

2021.09.06

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

R language and Machine Learning

Overview of the R language as a general-purpose tool for machine learning

2021.09.05

R推論技術:inference Technology機械学習:Machine Learning自然言語処理:Natural Language Processing

Protected: Sparse Modeling and Multivariate Analysis (11) Practical Examples of SVD, PMD, and NMF with R

Sparse Machine Learning, Matrix Decomposition (SVD, PMD, NMF) with R for Digital Transformation (DX), Artificial Intelligence (AI), Solid Line, BiocManager, PMA

2021.09.05

スパースモデリング機械学習:Machine Learning

Protected: Sparse Modeling and Multivariate Analysis (10) Use of matrix data decomposition

Machine learning for use in digital transformation (DX) and artificial intelligence (AI), application of matrix data analysis to sparse machine learning, SVD, PMD, NMF, LSA, LSI, PCA, LDA

2021.09.04

スパースモデリング機械学習:Machine Learning

Protected: Sparse Modeling and Multivariate Analysis (9) Basics of Matrix Data Decomposition

Machine learning techniques that can be used for digital transformation (DX) and artificial intelligence (AI), fundamentals of applying matrix data to machine learning, singularity decomposition, low-rank matrix approximation

2021.09.03

スパースモデリング機械学習:Machine Learning

Image Processing Technology

Overview of image recognition technology used in artificial intelligence (AI) and digital transformation (DX)

2021.09.02

検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning画像認識技術

Protected: Sparse Modeling and Multivariate Analysis (8) Sparsity of Time Transitions

Application of machine learning techniques and sparse modeling to time-varying information (changes in customers' purchasing interests)

2021.09.02

スパースモデリング機械学習:Machine Learning

Protected: Sparse Modeling and Multivariate Analysis (7) Image Processing and Sparsity (Application of Sparse Land Model)

Application of sparse models, one of the machine learning techniques applicable to artificial intelligence (AI) and digital transformation (DX), to image processing (denoising, object extraction, homography transformation, etc.)

2021.09.01

スパースモデリング機械学習:Machine Learning

Protected: Sparse Modeling and Multivariate Analysis (6) Image Processing and Sparsity (Overview of Machine Learning for Signal Processing)

Overview of Sparse Models for Machine Learning of Image Information for Artificial Intelligence (AI) and Digital Transformation (DX), JPEG, DCT, Sparse Land Model

2021.08.31

スパースモデリング機械学習:Machine Learning

Protected: Sparse modeling and multivariate analysis (5) Graphical lasso and its application (anomaly detection, etc.)

Graph sparse models used for dimensionality reduction of graph data and explanation of machine learning models, introduction of sparsity to relations and its application to graphical lasso and anomaly detection etc.

2021.08.30

スパースモデリング機械学習:Machine Learning