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Mastering Machine Learning with Spark 2.x

You're reading from   Mastering Machine Learning with Spark 2.x Harness the potential of machine learning, through spark

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781785283451
Length 340 pages
Edition 1st Edition
Languages
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Authors (3):
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Alex Tellez Alex Tellez
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Alex Tellez
Michal Malohlava Michal Malohlava
Author Profile Icon Michal Malohlava
Michal Malohlava
Max Pumperla Max Pumperla
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Max Pumperla
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Toc

Summary

Many companies such as Google freely give pretrained word vectors (trained on a subset of Google News, incorporating the top three million words/phrases) for various vector dimensions: for example, 25d, 50d, 100d, 300d, and so on. You can find the code (and the resulting word vectors) here. In addition to Google News, there are other sources of trained word vectors, which use Wikipedia and various languages. One question you might have is that if companies such as Google freely provide pretrained word vectors, why bother building your own? The answer to the question is, of course, application-dependent; Google's pretrained dictionary has three different vectors for the word java based on capitalization (JAVA, Java, and java mean different things), but perhaps, your application is just about coffee, so only one version of java is all that is really needed.

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