微分積分:Calculus Intuitive Methods in Economic Mathematics: Probability and Statistics Reading Notes
Summary
Economic mathematics is the study of mathematical methods of analysis in economics. It refers to the a...
線形代数:Linear Algebra
微分積分:Calculus IOT技術:IOT Technology Protected: Causal Inference with VAR Model (1) Interpolation of missing data and DF and ADF tests
Overview of multivariate autoregressive models for finding causal relationships between two time series data in time series data analysis using state space models for digital transformation, artificial intelligence, and machine learning tasks, and completion of missing data using R and DF and ADF tests
アルゴリズム:Algorithms Protected: Calculation of marginal probability distributions – Probability Propagation Method
Compute the probability distribution around graphical models in probabilistic generative models used in digital transformation, artificial intelligence , and machine learning tasks, such as Bayesian estimation, using probability propagation methods
アルゴリズム:Algorithms Various probability distributions
Overview of various probabilistic models used as approximate models for probabilistic generative models utilized in digital transformation, artificial intelligence, and machine learning tasks (Student's t distribution, Wishart distribution, Gaussian distribution, gamma distribution, inverse gamma distribution, Dirichlet distribution, beta distribution, categorical distribution, Poisson distribution, Bernoulli distribution)
アルゴリズム:Algorithms Protected: Overview of Gaussian Processes(2)Gaussian Processes and Kernels
Gaussian processes and kernel functions (Mattern kernel, character kernel, Fisher kernel, HMM's marginalized kernel, linear kernel, exponential kernel, periodic kernel, RBF kernel), which are dimensionless stochastic generative models used for digital transformation, artificial intelligence and machine learning tasks
幾何学:Geometry Nine Stories of Probability and Statistics That Changed Humans and Society Reading Notes
Nine Stories of Probability and Statistics That Changed Humans and Society Reading Notes
From Nine Stories of Pr...
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.
アルゴリズム:Algorithms Dream of a realistic SimCity
Integration of simulation and machine learning technologies used for digital transformation, artificial intelligence, and machine learning tasks; application of SimCity to the real world using emulation and machine learning