Tag Archives: SVD

LM101-082: Ch4: How to Analyze and Design Linear Machines

Episode Summary: This particular podcast covers the material in Chapter 4 of my new book “Statistical Machine Learning: A unified framework” which is now available! Many important and widely used machine learning algorithms may be interpreted as linear machines and this chapter shows how to use linear algebra to analyze and design such machines. In addition, these same… Read More »

LM101-054: How to Build Search Engine and Recommender Systems using Latent Semantic Analysis (RERUN)

LM101-054: How to Build Search Engine and Recommender Systems using Latent Semantic Analysis (RERUN)   Episode Summary: In this episode we explain how to build a search engine, automatically grade essays, and identify synonyms using Latent Semantic Analysis. Preamble: Welcome to the 54th Episode of Learning Machines 101 titled “How to Build a Search Engine, Automatically Grade Essays,… Read More »

LM101-040: How to Build a Search Engine, Automatically Grade Essays, and Identify Synonyms using Latent Semantic Analysis

LM101-040: How to Build a Search Engine, Automatically Grade Essays, and Identify Synonyms using Latent Semantic Analysis Episode Summary: In this episode we explain how to build a search engine, automatically grade essays, and identify synonyms using Latent Semantic Analysis. Show Notes: Hello everyone! Welcome to the fortieth podcast in the podcast series Learning Machines 101. In this… Read More »