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Statistical Methods for AI - Period 2
概述
CEA CAPA Partner 机构: Vrije Universiteit Amsterdam
地点: Amsterdam, 荷兰
Primary Subject Area: 数学
Instruction in: 英语
课程代码: XB_0080
Transcript Source: Partner 机构
Course Details: 200级
Recommended Semester Credits: 3
联系时间: 84
先决条件: Recommended: Basic mathematical knowledge; this includes fractions, 根, 总结, and simple manipulations of equations.
描述
- Summarising data;
- Basics of probability theory;
- Estimating means and fractions;
- Hypothesis testing for one- and two-sample problems about means and proportions;
- Correlation and linear regression;
- Contingency tables.
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.
- Basics of probability theory;
- Estimating means and fractions;
- Hypothesis testing for one- and two-sample problems about means and proportions;
- Correlation and linear regression;
- Contingency tables.
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.
