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Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Supervised Machine Learning for Text Analysis in R
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
Condition: As New. Unread book in perfect condition.
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Supervised Machine Learning for Text Analysis in R
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Supervised Machine Learning for Text Analysis in R
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
Condition: New.
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Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
Condition: New.
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Supervised Machine Learning for Text Analysis in R
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series) 1st Edition
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
Condition: New.
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Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Supervised Machine Learning for Text Analysis in R (Paperback)
Published by Taylor & Francis Ltd, London, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
Paperback. Condition: new. Paperback. 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 models, 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. This book is designed to provide practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate text into their modeling pipelines. We assume that the reader is somewhat familiar with R, predictive modeling concepts for non-text data, and the tidyverse family of packages. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Supervised Machine Learning for Text Analysis in R
Published by Taylor & Francis Ltd, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 185.
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Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)
Published by Routledge 2021-11-04, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
Paperback. Condition: New.
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Supervised Machine Learning for Text Analysis in R
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series) 1st Edition
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
Condition: New.
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Supervised Machine Learning for Text Analysis in R
Published by Taylor and Francis Ltd, GB, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
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 models, 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.
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Supervised Machine Learning for Text Analysis in R
Published by Taylor & Francis Ltd, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
Condition: New. 2021. 1st Edition. Paperback. . . . . .
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Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)
Published by Routledge 2021-11-04, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
Paperback. Condition: New.
-
Paperback. Condition: Brand New. 392 pages. 9.21x6.14x0.91 inches. In Stock.
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Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series) 1st Edition
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
Condition: New.
-
Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
Soft cover. Condition: New. Usually Dispatched within 1-2 Business Days , Buy with confidence , excellent customer service.
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Supervised Machine Learning for Text Analysis in R
Published by Taylor & Francis Ltd, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
Condition: New. 2021. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
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SUPERVISED MACHINE LEARNING FOR TEXT ANA
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
Condition: NEW.
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Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367554186 ISBN 13: 9780367554187
Language: English
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Fine.
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Paperback. Condition: Brand New. 392 pages. 9.21x6.14x0.91 inches. In Stock.
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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.
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Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)
Published by Chapman and Hall/CRC 2021-10-22, 2021
ISBN 10: 0367554186 ISBN 13: 9780367554187
Language: English
Hardcover. Condition: New.
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Supervised Machine Learning for Text Analysis in R (Paperback)
Published by Taylor & Francis Ltd, London, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
Paperback. Condition: new. Paperback. 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 models, 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. This book is designed to provide practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate text into their modeling pipelines. We assume that the reader is somewhat familiar with R, predictive modeling concepts for non-text data, and the tidyverse family of packages. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
-
Supervised Machine Learning for Text Analysis in R
Published by Taylor and Francis Ltd, GB, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
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 models, 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.
-
Supervised Machine Learning for Text Analysis in R
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367554194 ISBN 13: 9780367554194
Language: English
Taschenbuch. Condition: Neu. Supervised Machine Learning for Text Analysis in R | Emil Hvitfeldt (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | Chapman and Hall/CRC | EAN 9780367554194 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Supervised Machine Learning for Text Analysis in R
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367554186 ISBN 13: 9780367554187
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Supervised Machine Learning for Text Analysis in R
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367554186 ISBN 13: 9780367554187
Language: English
Condition: New.
