推論技術:inference Technology Protected: Local features (1) Overview of local features and various filtering processes
Overview of local feature extraction techniques and various filtering techniques in image recognition technology
人工知能:Artificial Intelligence
推論技術:inference Technology 機械学習:Machine Learning Protected: Overview of Image Recognition (2) Overview of the treatment process
Image recognition technology used in artificial intelligence (AI) and digital transformation (DX), specific recognition processes (class recognition, object recognition, instance recognition)
推論技術:inference Technology Protected: Overview of Image Recognition (1) History and overview of image recognition technology
History and overview of image recognition technology used in AI and DX
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 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)