Supervised Machine Learning Text by Hvitfeldt Emil (38 results)
Language: English
Published by Chapman and Hall/CRC, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
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Language: English
Published by Chapman and Hall/CRC, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Softcover
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Published by Chapman and Hall/CRC, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Softcover
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Language: English
Published by Chapman and Hall/CRC, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Softcover
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Published by Chapman and Hall/CRC, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Softcover
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Language: English
Published by Chapman and Hall/CRC, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Softcover
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Language: English
Published by Taylor & Francis Ltd, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Softcover
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Language: English
Published by Taylor and Francis Ltd, GB, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Softcover
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Paperback. Condition: New. Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Supervised Machine Learning for Text Analysis in R explains how to preprocess text data for modeling, train mo…dels, and evaluate model performance using tools from the tidyverse and tidymodels ecosystem. Models like these can be used to make predictions for new observations, to understand what natural language features or characteristics contribute to differences in the output, and more. If you are already familiar with the basics of predictive modeling, use the comprehensive, detailed examples in this book to extend your skills to the domain of natural language processing. This book provides practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate unstructured text data into their modeling pipelines. Learn how to use text data for both regression and classification tasks, and how to apply more straightforward algorithms like regularized regression or support vector machines as well as deep learning approaches. Natural language must be dramatically transformed to be ready for computation, so we explore typical text preprocessing and feature engineering steps like tokenization and word embeddings from the ground up. These steps influence model results in ways we can measure, both in terms of model metrics and other tangible consequences such as how fair or appropriate model results are.
Language: English
Published by Chapman and Hall/CRC, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: As New. Unread book in perfect condition.
Language: English
Published by Routledge 2021-11-04, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Softcover
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Language: English
Published by Chapman and Hall/CRC, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Softcover
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Language: English
Published by Chapman and Hall/CRC, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Softcover
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Language: English
Published by Chapman and Hall/CRC, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Softcover
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Language: English
Published by Chapman and Hall/CRC, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Hardcover
Seller: Books From California, Simi Valley, CA, U.S.A.Books From California
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Hardcover. Condition: Fine.
Language: English
Published by Chapman & Hall, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 392 pages. 9.21x6.14x0.91 inches. In Stock.
Language: English
Published by CRC Press, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Softcover
Seller: moluna, Greven, Germanymoluna
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Condition: New. Emil Hvitfeldt is a clinical data analyst working in healthcare, and an adjunct professor at American University where he is teaching statistical machine learning with tidymodels. He is also an open source R developer and author of the t.
Language: English
Published by Taylor and Francis Ltd, GB, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Softcover
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Paperback. Condition: New. Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Supervised Machine Learning for Text Analysis in R explains how to preprocess text data for modeling, train mo…dels, and evaluate model performance using tools from the tidyverse and tidymodels ecosystem. Models like these can be used to make predictions for new observations, to understand what natural language features or characteristics contribute to differences in the output, and more. If you are already familiar with the basics of predictive modeling, use the comprehensive, detailed examples in this book to extend your skills to the domain of natural language processing. This book provides practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate unstructured text data into their modeling pipelines. Learn how to use text data for both regression and classification tasks, and how to apply more straightforward algorithms like regularized regression or support vector machines as well as deep learning approaches. Natural language must be dramatically transformed to be ready for computation, so we explore typical text preprocessing and feature engineering steps like tokenization and word embeddings from the ground up. These steps influence model results in ways we can measure, both in terms of model metrics and other tangible consequences such as how fair or appropriate model results are.
Language: English
Published by Chapman and Hall/CRC 2021-11-04, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Hardcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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Language: English
Published by Chapman and Hall/CRC, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Language: English
Published by Chapman and Hall/CRC, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Published by Chapman and Hall/CRC, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Hardcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Language: English
Published by Taylor & Francis Ltd, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Hardcover
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Language: English
Published by Chapman & Hall, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 392 pages. 9.50x6.25x0.75 inches. In Stock.
Language: English
Published by Taylor & Francis Ltd, 2021
Series: Chapman & Hall/CRC Data Science, Book 13 of 36. Book 13 of 36 - Chapman & Hall/CRC Data Science
- Softcover
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