Overview of self-supervised learning and various algorithms and implementation examples
Self-supervised learning
Self-Supervised Learning is a type of machine learni...
人工知能:Artificial Intelligence
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...
Ontology-based knowledge platform to support equipment health in plant operations
Introduction
As mentioned in the previous article "Fusion of Plant Engineering Ontology ISO15926 and AI Tec...
Overview of Federated Learning and various algorithms and implementation examples
Federated Learning
Federated Learning is a new approach to training machine learning models that addresses th...
Overview of Kullback-Leibler variational estimation and various algorithms and implementations
Kullback-Leibler Variational Estimation
Kullback-Leibler Variational Estimation (Kullback-Leibler Variatio...
Overview of search algorithms and various algorithms and implementations
Search Algorithm
Search Algorithm refers to a family of computational methods used to find a target within a p...
Education and AI
Education and AI
Artificial intelligence (AI) has great influence in the field of education and has the potenti...
Dual problem and Lagrange multiplier method
Dual problem
Dual problems are an important concept in mathematical optimization theory. In optimization proble...
Overview of dynamic programming and examples of application and implementation in python
Dynamic Programming
Dynamic Programming (Dynamic Programming) is a mathematical technique for solving optim...
Overview of object detection techniques, algorithms and various implementations
Object Detection Technology
Object detection technology can be a technique for automatically detecting specif...