WIKI

This wiki is under continuous development

Machine Learning and Data Mining

Paradigms

Supervised learning • Unsupervised learning • Semi-supervised learning • Self-supervised learning • Reinforcement learning • Meta-learning • Online learning • Batch learning • Curriculum learning • Rule-based learning • Neuro-symbolic AI • Neuromorphic engineering • Quantum machine learning

supervised learning

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

classification

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

regression

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

unsupervised learning

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

clustering

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

dimensionality reduction

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

Graphical Prob model

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

Deep Learning (ANN)

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

Rule based Learning

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

data mining

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

Reinforcement learning

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

Probablity

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

stat

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

linear Algebra

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

Calculus

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

other math

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

programming

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

Lib/framework

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

Data Science

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

Optimization

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

Databases

Graph • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

Imp Papers

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

chemistry

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

Bio

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

Physics

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

neuroscience

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

information theory

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

graph theory

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

theoretical computer-science

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

Software Engg.

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

DSA

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

Algorithm.

Classification • Generative modeling • Regression • Clustering • Dimensionality reduction • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

Networking

Classification • Generative modeling • Regression • Clustering • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

OOP

Classification • Generative modeling • Regression • Clustering • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

Architecture and DLD

Classification • Generative modeling • Regression • Clustering • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

Compiler

Classification • Generative modeling • Regression • Clustering • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

Linux

Classification • Generative modeling • Regression • Clustering • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

Information Security (hacking)

Classification • Generative modeling • Regression • Clustering • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning

other

Classification • Generative modeling • Regression • Clustering • Density estimation • Anomaly detection • Data cleaning • AutoML • Association rules • Semantic analysis • Structured prediction • Feature engineering • Feature learning • Learning to rank • Grammar induction • Ontology learning • Multimodal learning