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Fen Bilimleri Enstitüsü
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BLG 521E
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Dersin Bilgileri
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Ana Sayfa
Dersin Bilgileri
Dersin Haftalık Planı
Değerlendirme Kriterleri
Dersin Bilgileri
Dersin Adı
Türkçe
İleri Yapay Zeka
İngilizce
Advanced Artificial Intell.
Dersin Kodu
BLG 521E
Kredi
Ders
(saat/hafta)
Uygulama
(saat/hafta)
Labratuvar
(saat/hafta)
Dönem
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3
3
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Dersin Dili
İngilizce
Dersin Koordinatörü
Behçet Uğur Töreyin
Dersin Amaçları
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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
Dersin Çıktıları
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Önkoşullar
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Gereken Olanaklar
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Diğer
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Ders Kitabı
http://aima.cs.berkeley.edu/
Diğer Referanslar
https://iq.mit.edu/ http://web.cecs.pdx.edu/~mperkows/CLASS_479/2017_ZZ_00/02__GOOD_Russel=Norvig=Artificial%20Intelligence%20A%20Modern%20Approach%20(3rd%20Edition).pdf http://web.eecs.umich.edu/~dmitryb/courses/fall15ai/ https://people.eecs.berkeley.edu/~russell/classes/cs188/s04/ http://aima.eecs.berkeley.edu/slides-ppt/ https://github.com/aimacode
https://www.stat.berkeley.edu/~bartlett/courses/2014spring-cs281bstat241b/
https://web.stanford.edu/~hastie/Papers/ESLII.pdf
http://www-bcf.usc.edu/~gareth/ISL/
https://www.r-bloggers.com/in-depth-introduction-to-machine-learning-in-15-hours-of-expert-videos/
https://www.alsharif.info/iom530
http://www.deeplearningbook.org
http://stat.wharton.upenn.edu/~skakade/courses/stat928/
http://www.utstat.utoronto.ca/~radford/sta414.S06/
https://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-520-statistical-learning-theory-and-applications-spring-2006/lecture-notes/
https://web.stanford.edu/class/cs229t/syllabus.html
https://people.eecs.berkeley.edu/~wainwrig/stat241b/
https://bcourses.berkeley.edu/courses/1409209/assignments/syllabus
http://www.inference.org.uk/mackay/itila/book.html
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