DX

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

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
コンピューター

Use of Emulators and Inverse Problems in Molecular Simulation

The use of emulators in the integration of simulation and machine learning technologies applied to digital transformation, artificial intelligence, and machine learning tasks and the inverse problem of molecular simulation
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
CSS

Protected: How re-rendering works in React and optimization

Optimization of the behavior of React, a web front-end technology used for digital transformation , artificial intelligence , and machine learning tasks, by memorizing re-rendering controls.
コンピューター

Protected: Overview and Installation of Vim

Features and installation of text editors Vi and Vim for building infrastructure for digital transformation (DX), artificial intelligence (AI) and machine learning (ML) tasks
コンピューター

Overview and installation of Sublimetext

Overview and installation of Sublimetext, a text editor used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks
Symbolic Logic

Protected: Introduction to Optimization with Support Vector Machines: Optimality Conditions and Generic Solution Methods

Optimality conditions (strong duality and KKT) and generic solution methods (active set and interior point method) in support vector machines used for digital transformation, artificial intelligence and machine learning tasks
IOT技術:IOT Technology

Protected: State Space Modeling with R – using dlm and KFAS (3) Analysis with KFAS

Time series data analysis for digital transformation, artificial intelligence, and machine learning tasks; examples of time series analysis on real data using KFAS in R normal distribution, Poisson distribution, Kalman filter, first-order difference model, second-order difference model
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
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