Tag Archives: set theory

LM101-080: Ch2: How to Represent Knowledge using Set Theory

The purpose of the image is to illustrate the idea that we can represent concepts as subsets of a feature space.

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Episode Summary: This particular podcast covers the material in Chapter 2 of my new book “Statistical Machine Learning: A unified framework” with expected publication date May 2020. In this episode we discuss Chapter 2 of my new book, which discusses how to represent knowledge using set theory notation. Chapter 2 is titled “Set Theory for Concept Modeling”. Show… Read More »

LM101-007: How to Reason About Uncertain Events using Fuzzy Set Theory and Fuzzy Measure Theory

Example of Logical Reasoning in an Environment Characterized by Uncertainty.

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Episode Summary: In real life, there is no certainty. There are always exceptions. In this episode, two methods are discussed for making inferences in uncertain environments. In fuzzy set theory, a smart machine has certain beliefs about imprecisely defined concepts. In fuzzy measure theory, a smart machine has beliefs about precisely defined concepts but some beliefs are stronger… Read More »