python Overview of the policy gradient method and examples of algorithms and implementations
Policy Gradient Methods
Policy Gradient Methods are a type of reinforcement learning that focuses specifica...
微分積分:Calculus
python 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...
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 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...
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 ...
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...
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...
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...
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 Bayesian Structural Time Series Models and Examples of Application and Implementation
Bayesian Structural Time Series Models
Bayesian Structural Time Series Model (BSTS) is a type of statisti...