Mathematics for Artificial Intelligence

Bradford Communications, LLC

Silicon Slopes, Utah

Section 1

Mathematics for Artificial Intelligence

Student Handout

20241120

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Course Description: This course covers the essential mathematical foundations for understanding AI algorithms. Topics include linear algebra, probability theory, statistics, and optimization techniques, all of which are critical for building and analyzing AI models.

Introduction: A solid mathematical foundation is crucial for mastering AI. This course equips students with the mathematical tools needed to understand and develop AI algorithms.

1. Topic X. Explain…

• Subtopic X. Explain…

• Subtopic explanation X

1. Topic X2. Explain…

• Subtopic X1. Explain…

• Subtopic explanation X

• Subtopic X2. Explain…

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Terminal Learning Objectives

Enabling Learning Objectives

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References

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