Introduction to Chapter 17 Recorded Lecture
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Chapter 17 Recorded Lecture Comprehensive Overview
Hey everybody hope you're doing well today today we're going to start our 211 journey with Chapter 17 Chap 17 section 1
Three Learning Principles - Major pitfalls for machine learning practitioners; Occam's razor, sampling bias, and data snooping.
Summary & Highlights for Chapter 17 Recorded Lecture
- Lecture Video Chapter 17
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- Explains what classes are and how they are used to tame conceptual and physical complexity.
- Detailed
- span of control, power, sources of power, coercive power, reward power, carrot and stick, legitimate power, expert power, referent ...
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