Hoşgeldiniz, Misafir . Oturum Aç . English
Neredeyim: Ninova / Dersler / Fen Bilimleri Enstitüsü / BLG 521E - İleri Yapay Zeka
 

BLG 521E - İleri Yapay Zeka

Dersin Amaçları

-

Dersin Tanımı

Artificial Intelligence BLG 521E Spring - 2018
• Grading Policy: 30% HWs, 30% Project, 30% Final, Class Participation
• Lectures on Wednesdays (morning and afternoon sessions) in every two weeks.
• Required Background: Probability and Stochastic Processes (BBL 501, KOM 505E, or similar grad. level course).
• Recommended to take a convex optimization course.

Feb 14 Organizational issues. Course outline. Agents.
Feb 28 Search Algorithms and Heuristics
Mar 14 Uncertainty - Probability
Mar 28 Optimization
Apr 11 Machine Learning Concepts, Learning from Observations
Apr 25 SVM, Neural Networks
May 09 Deep Learning Paradigm
May 23 Project Presentations

Koordinatörleri
Behçet Uğur Töreyin
Dersin Dili
İngilizce
 
 
Dersler . Yardım . Hakkında
Ninova, İTÜ Bilgi İşlem Daire Başkanlığı ürünüdür. © 2018