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
Feature Selection
Identifying the most relevant features for model training
Self-Supervised Learning
Generating supervisory signals from unlabeled data for training
Loss Function
Math function measuring prediction vs actual value difference
Ridge Regression
Regularized regression using L2 penalty to prevent overfitting
Bagging
Training models on random subsets and averaging predictions
Time Series Analysis
Analyzing time-ordered data for patterns and forecasting