2021-09

R

R language and Machine Learning

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