LM101-056: How to Build Generative Latent Probabilistic Topic Models for Search Engine and Recommender System Applications

Learning Machines 101 - A podcast by Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.

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Technology

In this NEW episode we discuss Latent Semantic Indexing type machine learning algorithms which have a PROBABILISTIC  interpretation. We explain why such a probabilistic interpretation is important and discuss how such algorithms can be used in the design of document retrieval systems, search engines, and recommender systems. Check us out at: www.learningmachines101.com

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