# Klasik Makine Öğrenmesi

Canonical: https://manyspace.aporia.systems/tr/subjects/ai/classical-machine-learning-90
Updated: 2026-10-13

Klasik Makine Öğrenmesi: yaklaşık 7 saat. Her konu önce neye ihtiyaç olduğunu ve neyi açtığını listeler.

## Neighbors And Bayes

- [k-Nearest Neighbors](https://manyspace.aporia.systems/tr/topics/k-nearest-neighbors-aiml-cml-001)
- [Naive Bayes](https://manyspace.aporia.systems/tr/topics/naive-bayes-aiml-cml-002)

## Trees And Ensembles

- [Decision Trees](https://manyspace.aporia.systems/tr/topics/decision-trees-aiml-cml-003)
- [Random Forests](https://manyspace.aporia.systems/tr/topics/random-forests-aiml-cml-004)
- [Gradient Boosting](https://manyspace.aporia.systems/tr/topics/gradient-boosting-aiml-cml-005)

## Margins And Kernels

- [Support Vector Machines](https://manyspace.aporia.systems/tr/topics/support-vector-machines-aiml-cml-006)
- [Kernels](https://manyspace.aporia.systems/tr/topics/kernels-aiml-cml-007)