推論技術:inference Technology Protected: What is MCMC (Overview)
Markov Chain Monte Carlo (MCMC), a key tool in Bayesian inference for artificial intelligence (AI) tasks, digital transformation (DX), natural language processing, etc.
推論技術:inference Technology 推論技術:inference Technology 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.
R R language and Machine Learning
Overview of the R language as a general-purpose tool for machine learning
スパースモデリング 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
スパースモデリング 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
スパースモデリング 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
検索技術:Search Technology Image Processing Technology
Overview of image recognition technology used in artificial intelligence (AI) and digital transformation (DX)
スパースモデリング 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)
スパースモデリング 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.)
スパースモデリング 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