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MATHEMATICAL FOUNDATIONS OF MACHINE LEARNING

COMPSCI/ECE 761
课程描述

Mathematical foundations of machine learning theory and algorithms. Probabilistic, algebraic, and geometric models and representations of data, mathematical analysis of state-of-the-art learning algorithms and optimization methods, and applications of machine learning. Knowledge of probability [such asMATH/​STAT  431orCOMP SCI/​E C E  561] and linear algebra [such asMATH 341orM E/​COMP SCI/​E C E  532] is required.

先修课程

Graduate/professional standing

满足要求
学分

未报告

开课时间

未报告

平均绩点
3.45

2.94% 相比历史数据

完成率
97.5%

0.02% 相比历史数据

A率
40%

-7.49% 相比历史数据

班级规模
40

-24.53% 相比历史数据

Cumulative Grade Distribution

教师 (2026 Summr)

按评分排序，数据来自 Rate My Professors

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