vf_node_title_variants
| ANGOL CÍM | Machine learning and data mining | 8112 |
| OROSZ CÍM | Машинное обучение | 20073 |
vf_node_webs
| title (web) | field_t_title_web | |
|---|---|---|
| https://en.wikipedia.org/wiki/Template:Machine_learning | ||
| https://ru.wikipedia.org/wiki/Шаблон:Машинное_обучение |
vf_node_items
| vf_node_pictures_all | title (item) | field_cer_web | field_cer_navbox | g_geofield | field_t_coordinates | g_geofield | |
|---|---|---|---|---|---|---|---|
| ChatGPT |
body
| Machine learning and data mining | |
|---|---|
| Paradigms | Supervised learning • Unsupervised learning • Online learning • Batch learning • Meta-learning • Semi-supervised learning • Self-supervised learning • Reinforcement learning • Curriculum learning • Rule-based learning • Quantum machine learning |
| Problems | 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 |
|
Supervised learning (classification • regression) |
Apprenticeship learning • Decision trees • Ensembles • Bagging • Boosting • Random forest • k-NN • Linear regression • Naive Bayes • Artificial neural networks • Logistic regression • Perceptron • Relevance vector machine (RVM) • Support vector machine (SVM) |
| Clustering |
BIRCH • CURE • Hierarchical • k-means • Fuzzy • Expectation-maximization (EM) • DBSCAN • OPTICS • Mean shift |
| Dimensionality reduction | Factor analysis • CCA • ICA • LDA • NMF • PCA • PGD • t-SNE • SDL |
| Structured prediction | Graphical models • Bayes net • Conditional random field • Hidden Markov |
| Anomaly detection | RANSAC • k-NN • Local outlier factor • Isolation forest |
| Artificial neural network | Autoencoder • Cognitive computing • Deep learning • DeepDream • Feedforward neural network • Recurrent neural network • LSTM • GRU • ESN • reservoir computing • Restricted Boltzmann machine • GAN • Diffusion model • SOM • Convolutional neural network • U-Net • Transformer • Vision • Mamba • Spiking neural network • Memtransistor • Electrochemical RAM (ECRAM) |
| Reinforcement learning | Q-learning • SARSA • Temporal difference (TD) • Multi-agent • Self-play |
| Learning with humans | Active learning • Crowdsourcing • Human-in-the-loop • RLHF |
| Model diagnostics | Coefficient of determination • Confusion matrix • Learning curve • ROC curve |
| Mathematical foundations | Kernel machines • Bias-variance tradeoff • Computational learning theory • Empirical risk minimization • Occam learning • PAC learning • Statistical learning • VC theory |
| Machine-learning venues | ECML PKDD • NeurIPS • ICML • ICLR • IJCAI • ML • JMLR |
| Related articles | Glossary of artificial intelligence • List of datasets for machine-learning research • List of datasets in computer vision and image processing • Outline of machine learning |
fr_importance