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CS 412 Machine Learning

Spring 2026-2027 · 3 SU credits · 6 ECTS · Undergraduate

This is an introductory machine learning course that will aim a solid understanding of the fundamental issues in machine learning (overfitting, bias/variance), together with several state-of-art approaches such as decision trees, linear regression, k-nearest neighbor, Bayesian classifiers, support vector machines, neural networks, logistic regression, and classifier combination.

Needs first MATH 201 or MATH 212; MATH 203

Alongside CS 412R

Opens up CS 455

Lecture — CS 412

Recitation — CS 412R

CS 412 — Sabancı Üniversitesi Spring 2026-2027 ders programı: section'lar, saatler, derslikler, CRN'ler ve syllabus bağlantıları.