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
Protected: Machine Learning Based on Sparsity (2) Machine Learning Basics, Norm and Regularization
Basics of efficient machine learning using sparsity, norm and regularization
Machine learning with sparsity
Sparse model machine learning for data compression and feature extraction
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).
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)
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
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
Foundation
Introduction to Isaac Asimov's classic science fiction, Foundation, and its relationship to current artificial intelligence technology.
Heuristics and Frame Problems
Heuristics and artificial intelligence frame problems at the base of human behavior.macro-economics
Protected: Analysis of time series data (2) Basics of statistical analysis
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