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Machine Learning Quick Reference

You're reading from   Machine Learning Quick Reference Quick and essential machine learning hacks for training smart data models

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788830577
Length 294 pages
Edition 1st Edition
Languages
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Author (1):
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Rahul Kumar Rahul Kumar
Author Profile Icon Rahul Kumar
Rahul Kumar
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Toc

Table of Contents (13) Chapters Close

Preface 1. Quantifying Learning Algorithms FREE CHAPTER 2. Evaluating Kernel Learning 3. Performance in Ensemble Learning 4. Training Neural Networks 5. Time Series Analysis 6. Natural Language Processing 7. Temporal and Sequential Pattern Discovery 8. Probabilistic Graphical Models 9. Selected Topics in Deep Learning 10. Causal Inference 11. Advanced Methods 12. Other Books You May Enjoy

Text corpus


A text corpus is text data that forms out of a single document or group of documents and can come from any language, such as English, German, Hindi, and so on. In today's world, most of the textual data flows from social media, such as Facebook, Twitter, blogging sites, and other platforms. Mobile applications have now been added to the list of such sources. The larger size of a corpus, which is called corpora, makes the analytics more accurate.

Sentences

A corpus can be broken into units, which are called sentences. Sentences hold the meaning and context of the corpus, once we combine them together. Sentence formation takes place with the help of parts of speech. Every sentence is separated from other sentences by a delimiter, such as a period, which we can make use of to break it up further. This is called sentence tokenization.

Words

Words are the smallest unit of corpuses and take the shape of sentences when we put them in order by following the parts of speech. When we break...

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