描述
对机器学习基础概念、技术与算法的广泛介绍。许多概念使用概率、统计、线性代数和微积分；由于部分算法需实现，建议具备能编写适度非平凡计算机程序的编程技能。
原文参考文本
Broad introduction to the fundamental concepts, techniques and algorithms in machine learning. Many of these concepts use probability, statistics, linear algebra and calculus; since some of the algorithms are implemented, programming skills at a level sufficient to write a reasonable non-trivial computer program are desirable.
来源与参考
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来源参考 : https://calendar.carleton.ca/grad/courses/COMP/