微分積分:Calculus

幾何学:Geometry

Cross-Entropy Loss

Overview of  Cross-Entropy Loss Cross-Entropy Loss (Cross-Entropy Loss) is one of the common loss functions use...
python

Overview of Gelman-Rubin Statistics and Related Algorithms and Examples of Implementations

Overview of Gelman-Rubin Statistics The Gelman-Rubin statistic (or Gelman-Rubin diagnostic, Gelman-Rubin statis...
python

Overview of Q-Learning and Examples of Algorithms and Implementations

  Q-Learning Q-Learning (Q-Learning) is a type of reinforcement learning, an algorithm that allows an agent t...
微分積分:Calculus

Overview of the gradient method and examples of algorithms and implementations

Gradient Descent The gradient method is one of the widely used methods in machine learning and optimization algo...
python

Overview of Newton’s method and its algorithm and implementation

Newton's Method Newton's method (Newton's method) is one of the iterative optimization algorithms for finding n...
アルゴリズム:Algorithms

Overview, Algorithm and Implementation of Gauss-Hermite Integral

Gaussian-Hermite Integration Gaussian-Hermite Integration is a method of numerical integration, often used for ...
アルゴリズム:Algorithms

An overview of maximum likelihood estimation and its algorithm and implementation

Maximum Likelihood Estimation Maximum Likelihood Estimation (MLE) will be one of the estimation methods used in...
アルゴリズム:Algorithms

Overview of Kullback-Leibler variational estimation and various algorithms and implementations

Kullback-Leibler Variational Estimation Kullback-Leibler Variational Estimation (Kullback-Leibler Variatio...
IOT技術:IOT Technology

Overview and implementation of image recognition systems

Image Recognition System Overview An image recognition system will be a technology in which a computer analy...
python

Overview and Implementation of Markov Chain Monte Carlo Methods

  Overview of Markov Chain Monte Carlo Methods Markov Chain Monte Carlo (MCMC) is a st...
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