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Machine Learning for Econometrics and Data 科学 - Period 4 Social 科学 & 人文学科 Program Spring 2025 Semester - Extended - - - - - -阿姆斯特丹

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Machine Learning for Econometrics and Data 科学 - Period 4

Machine Learning for Econometrics and Data 科学 - Period 4 Course Overview

概述

CEA CAPA Partner 机构: Vrije Universiteit Amsterdam
地点: Amsterdam, 荷兰
Primary Subject Area: Computer 科学
Instruction in: 英语
课程代码: E_EOR3_MLEDS
Transcript Source: Partner 机构
课程详细信息: 300级
Recommended Semester Credits: 3
联系时间: 84
先决条件: Intermediate level of Linear Algebra, Probability, Statistics and Econometrics

描述

The aim is to explore, 研究, and develop quantitative learning systems, 方法, and algorithms with the purpose to improve the performance with learning from large data sets using powerful computers.

Vrije Universiteit Amsterdam (VU Amsterdam) awards credits based on the ECTS system. 联系 hours listed under a course description may vary due to the combination of lecture-based and independent work required for each course therefore, CEA's recommended credits are based on the ECTS credits assigned by VU Amsterdam. 1 ECTS equals 28 contact hours assigned by VU Amsterdam.

Course includes lab component.

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