幾何学:Geometry Nine Stories of Probability and Statistics That Changed Humans and Society Reading Notes
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数学:Mathematics
幾何学:Geometry アルゴリズム:Algorithms Protected: Partitioning Methods in Support Vector Machines (2) DCDM Algorithm for Linear SVM
DCDM algorithm (dual coordinate descent method algorithm), an efficient algorithm for processing large amounts of (sparse) data on support vector machines (algorithm for linear SVM used in LIBLINEAR) used in digital transformation (DX), artificial intelligence (AI) and machine learning (ML) tasks.
IOT技術:IOT Technology Protected: Applications of State Space Models to Marketing
Application to marketing using evolution and evolution in time-series data analysis using state-space models utilized in digital transformation, artificial intelligence, and machine learning tasks.
アルゴリズム:Algorithms Protected: Graphical model with factor graph representation
An overview of factor graph models, a more generalized version of graphical models used in probabilistic generative models for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks
アルゴリズム:Algorithms Protected: Non-parametric Bayesian and clustering(1)Dirichlet distribution and infinite mixture Gaussian model
Analysis with a mixed Gaussian model that extends the Dirichlet distribution to infinite dimensions as a nonparametric Bayesian approach in stochastic generative models used in digital transformation artificial intelligence, and machine learning
アルゴリズム:Algorithms Protected: Overview of Gaussian Processes (1) Gaussian Processes and Kernel Tricks
Overview of the theory of Gaussian processes (support vector machines, related vector machines, RVMs, RBF kernels, kernel functions), which are dimensionless multivariate Gaussian distribution models with no specified parameters among stochastic generative models used in digital transformation, artificial intelligenceand machine learningtasks.
ベイズ推定 Introduction to Probability Theory Reading Notes
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アルゴリズム:Algorithms Protected: Partitioning Method on Support Vector Machines (1) SMO Algorithm
Efficiency using the partitioning method (SMO algorithm) on support vector machines utilized for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks
IOT技術:IOT Technology Protected: Implementation of particle filter on time series data
Data assimilation using particle filters for time series data analysis utilized in digital transformation, artificial intelligence, and machine learning tasks and comparison of Kalman filter, particle filter (sequential Monte Carlo), and Markov chain Monte Carlo (MCMC) methods
確率・統計:Probability and Statistics 134 Stories of Probability and Statistical Magic that Changed the World Reading Notes
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