微分積分:Calculus Intuitive Methods in Economic Mathematics: Probability and Statistics Reading Notes
Machine Learning Digital Transformation Artificial Intelligence Mathematics Algorithms and Data Structure Life Tips Econ...
確率・統計:Probability and Statistics
微分積分:Calculus アルゴリズム:Algorithms Protected: Model selection and regularization path tracking (1) Cross-validation method
Cross-validation methods (k-partition cross-validation and one-out cross-validation) for selecting hyper-parameters such as regularization parameters for support vector machines utilized in digital transformation, artificial intelligence, and machine learning tasks
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
Machine Learning Digital Transformation Artificial IntelligenceMathematics Algorithms and Data Structure Life Tips Navig...
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