Dersin Bilgileri

Dersin Adı	Türkçe	Special Top.in Earth Sys.Sci. (Machine Learning and Deep Learning for Earth Scientists)
	İngilizce	Special Top.in Earth Sys.Sci. (Machine Learning and Deep Learning for Earth Scientists)
Dersin Kodu	YSB 579E	Kredi	Ders (saat/hafta)	Uygulama (saat/hafta)	Labratuvar (saat/hafta)
Dönem	-	3	3	1	-
Dersin Dili		İngilizce
Dersin Koordinatörü		Yusuf Aydın
Dersin Amaçları		By the end of this course, students will be able to: 1. Understand the foundational concepts of Machine Learning (ML) and Deep Learning (DL), including key algorithms and methodologies relevant to Earth Sciences. 2. Develop proficiency in Python programming for data analysis, model development, and performance evaluation in Earth Science applications. 3. Apply ML and DL techniques to real-world problems such as weather forecasting, climate modeling, and environmental monitoring. 4. Gain insight into current trends, challenges, and research directions at the intersection of Earth Sciences, Machine Learning, and Deep Learning to prepare for advanced study or professional practice.
Dersin Tanımı		By the end of this course, students will be able to: 1. Understand the foundational concepts of Machine Learning (ML) and Deep Learning (DL), including key algorithms and methodologies relevant to Earth Sciences. 2. Develop proficiency in Python programming for data analysis, model development, and performance evaluation in Earth Science applications. 3. Apply ML and DL techniques to real-world problems such as weather forecasting, climate modeling, and environmental monitoring. 4. Gain insight into current trends, challenges, and research directions at the intersection of Earth Sciences, Machine Learning, and Deep Learning to prepare for advanced study or professional practice.
Dersin Çıktıları
Önkoşullar
Gereken Olanaklar
Diğer
Ders Kitabı
Diğer Referanslar		• Data Science and Machine Learning, Mathematical and Statistical Methods. Drik P. Kroese, Zdravko I. Botev, Thomas Taimar, and Radislav Vaisman. CRC Press, Taylor & Francis Group. • Introduction to Machine Learning with Python. A. C. Muller and S. Guido. • The Elements of Statistical Learning, Data Mining, Inference, and Prediction. Trevor Hastie Robert Tibshirani Jerome Friedman.

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