Foundations of ML | Linguist | اللُّــغَــوِيّــــ

| | | | | linguist.page@gmail.com

Home »

Computational Linguistics »

Machine Learning »

Foundations of ML

What is ML? (vs. traditional programming)
Types: Supervised, Unsupervised, Semi-supervised, Self-supervised, Reinforcement
Training, Validation, Test sets
Overfitting & Underfitting
Bias-Variance tradeoff
Feature engineering
Feature scaling (normalization, standardization)
One-hot encoding
Data augmentation

© Linguist | اللُّــغَــوِيّــــ