Machine Learning
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Multi-Task Learning
Quick Definition
Training one model for multiple related tasks simultaneously
Full Definition
Training a single model to perform multiple related tasks simultaneously.
Examples
joint prediction models, shared representations
Related Terms
transfer-learning
shared-representation
More Machine Learning Terms
K-Nearest Neighbors
Classifying based on majority class of k nearest neighbors
Feature Engineering
Creating and transforming input variables to improve performance
Bagging
Training models on random subsets and averaging predictions
Supervised Learning
Learning from labeled training data with input-output pairs
Hyperparameter Tuning
Finding optimal configuration values before training
K-Means
Partitioning data into k clusters by updating centroids