Language: English
Published by Cambridge University Press, 2020
ISBN 10: 1108709389 ISBN 13: 9781108709385
Seller: Better World Books: West, Reno, NV, U.S.A.
Condition: Good. Used book that is in clean, average condition without any missing pages.
Language: English
Published by Cambridge University Press, 2020
ISBN 10: 1108709389 ISBN 13: 9781108709385
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Language: English
Published by Cambridge University Press, 2020
ISBN 10: 1108709389 ISBN 13: 9781108709385
Seller: AwesomeBooks, Wallingford, United Kingdom
paperback. Condition: Very Good. The Art of Feature Engineering: Essentials for Machine Learning This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
Language: English
Published by Cambridge University Press -, 2020
ISBN 10: 1108709389 ISBN 13: 9781108709385
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paperback. Condition: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.
Language: English
Published by Cambridge University Press, 2020
ISBN 10: 1108709389 ISBN 13: 9781108709385
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Cambridge University Press, 2020
ISBN 10: 1108709389 ISBN 13: 9781108709385
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1108709389 ISBN 13: 9781108709385
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. When machine learning engineers work with data sets, they may find the results aren't as good as they need. Instead of improving the model or collecting more data, they can use the feature engineering process to help improve results by modifying the data's features to better capture the nature of the problem. This practical guide to feature engineering is an essential addition to any data scientist's or machine learning engineer's toolbox, providing new ideas on how to improve the performance of a machine learning solution. Beginning with the basic concepts and techniques, the text builds up to a unique cross-domain approach that spans data on graphs, texts, time series, and images, with fully worked out case studies. Key topics include binning, out-of-fold estimation, feature selection, dimensionality reduction, and encoding variable-length data. The full source code for the case studies is available on a companion website as Python Jupyter notebooks. This is a guide for data scientists who want to use feature engineering to improve the performance of their machine learning solutions. The book provides a unified view of the field, beginning with basic concepts and techniques, followed by a cross-domain approach to advanced topics, like texts and images, with hands-on case studies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Cambridge University Press, 2020
ISBN 10: 1108709389 ISBN 13: 9781108709385
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Language: English
Published by Cambridge University Press, 2020
ISBN 10: 1108709389 ISBN 13: 9781108709385
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Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 274 pages. 8.75x6.00x0.75 inches. In Stock.
Language: English
Published by Cambridge University Press, 2020
ISBN 10: 1108709389 ISBN 13: 9781108709385
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 420.
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 274 pages. 8.75x6.00x0.75 inches. In Stock.
Condition: New. This is a guide for data scientists who want to use feature engineering to improve the performance of their machine learning solutions. The book provides a unified view of the field, beginning with basic concepts and techniques, followed by a cross-domain a.
Language: English
Published by Cambridge University Press Jun 2020, 2020
ISBN 10: 1108709389 ISBN 13: 9781108709385
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware - A practical guide for data scientists who want to improve the performance of any machine learning solution with feature engineering.