Machine Learning Principles

Bradford Communications, LLC

Silicon Slopes, Utah

Section 2

Machine Learning Principles

Student Handout

20241120

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Course Description: This course dives into the fundamentals of machine learning, including supervised, unsupervised, and reinforcement learning. Students will explore key algorithms like decision trees, neural networks, and support vector machines, with an emphasis on real-world applications.

Introduction: Machine learning is at the heart of AI. This course introduces students to the core principles and techniques of machine learning, preparing them to build intelligent systems.

Course Description: This course dives into the fundamentals of machine learning, including supervised, unsupervised, and reinforcement learning. Students will explore key algorithms like decision trees, neural networks, and support vector machines, with an emphasis on real-world applications.

Introduction: Machine learning is at the heart of AI. This course introduces students to the core principles and techniques of machine learning, preparing them to build intelligent systems.

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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