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Python: Real World Machine Learning
book

Python: Real World Machine Learning

by Prateek Joshi, John Hearty, Bastiaan Sjardin, Luca Massaron, Alberto Boschetti
November 2016
Beginner to intermediate
941 pages
21h 55m
English
Packt Publishing
Content preview from Python: Real World Machine Learning

LDA

LDA stands for Latent Dirichlet Allocation, and it's one of the widely-used techniques to analyze collections of textual documents.

Note

LDA is an acronym also used by another technique, Linear Discriminant Analysis, which is a supervised method for classification. Pay attention to how LDA is used as there's no connection between these two algorithms.

A full mathematical explanation of LDA would require the knowledge of probabilistic modeling, which is beyond the scope of this practical book. Here, instead, we will give you the most important intuitions behind the model and how to practically apply this model on a massive dataset.

First at all, LDA is used in a branch of data science named text mining, where the focus is on building learners to ...

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Publisher Resources

ISBN: 9781787123212Supplemental ContentPurchase Link