# Sınıflandırma

Canonical: https://manyspace.aporia.systems/tr/subjects/ai/classification-88
Updated: 2026-10-13

Sınıflandırma: yaklaşık 10 saat. Her konu önce neye ihtiyaç olduğunu ve neyi açtığını listeler.

## Binary Classification

- [Classification Framing](https://manyspace.aporia.systems/tr/topics/classification-framing-aiml-cls-001)
- [Scores and Logits](https://manyspace.aporia.systems/tr/topics/scores-and-logits-aiml-cls-002)
- [Sigmoid and Probabilities](https://manyspace.aporia.systems/tr/topics/sigmoid-and-probabilities-aiml-cls-003)
- [Logistic Regression](https://manyspace.aporia.systems/tr/topics/logistic-regression-aiml-cls-004)
- [Decision Boundaries](https://manyspace.aporia.systems/tr/topics/decision-boundaries-aiml-cls-005)
- [Binary Cross-Entropy](https://manyspace.aporia.systems/tr/topics/binary-cross-entropy-aiml-cls-006)
- [The Perceptron](https://manyspace.aporia.systems/tr/topics/the-perceptron-aiml-cls-010)
- [Generative Classifiers: Gaussian Discriminant Analysis](https://manyspace.aporia.systems/tr/topics/generative-classifiers-gaussian-discriminant-analysis-aiml-cls-009)

## Multiclass Classification

- [Multiclass Scores and Softmax](https://manyspace.aporia.systems/tr/topics/multiclass-scores-and-softmax-aiml-cls-007)
- [Cross-Entropy Loss](https://manyspace.aporia.systems/tr/topics/cross-entropy-loss-aiml-cls-008)
