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Condition: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.
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Language: English
Published by O'Reilly Media (edition 2), 2023
ISBN 10: 1098135725 ISBN 13: 9781098135720
Seller: BooksRun, Philadelphia, PA, U.S.A.
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First Edition
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Paperback. Condition: New. 2nd. This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems all the way from loading data to training models and leveraging neural networks.Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure it works. From there, you can adapt these recipes according to your use case or application. Recipes include a discussion that explains the solution and provides meaningful context. Go beyond theory and concepts by learning the nuts and bolts you need to construct working machine learning applications.You'll find recipes for:Vectors, matrices, and arraysWorking with data from CSV, JSON, SQL, databases, cloud storage, and other sourcesHandling numerical and categorical data, text, images, and dates and timesDimensionality reduction using feature extraction or feature selectionModel evaluation and selectionLinear and logical regression, trees and forests, and k-nearest neighborsSupport vector machines (SVM), naive Bayes, clustering, and tree-based modelsSaving and loading trained models from multiple frameworks.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
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US$ 59.45
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Seller: Meadowland Media, Fayetteville, AR, U.S.A.
paperback. it'S NEW Ships same or next bu.
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Add to basketPaperback. Condition: New. 2nd. This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems all the way from loading data to training models and leveraging neural networks.Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure it works. From there, you can adapt these recipes according to your use case or application. Recipes include a discussion that explains the solution and provides meaningful context. Go beyond theory and concepts by learning the nuts and bolts you need to construct working machine learning applications.You'll find recipes for:Vectors, matrices, and arraysWorking with data from CSV, JSON, SQL, databases, cloud storage, and other sourcesHandling numerical and categorical data, text, images, and dates and timesDimensionality reduction using feature extraction or feature selectionModel evaluation and selectionLinear and logical regression, trees and forests, and k-nearest neighborsSupport vector machines (SVM), naive Bayes, clustering, and tree-based modelsSaving and loading trained models from multiple frameworks.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketCondition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 69.42
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Add to basketCondition: New. In.
Language: English
Published by O'Reilly Media 2023-10-31, 2023
ISBN 10: 1098135725 ISBN 13: 9781098135720
Seller: Chiron Media, Wallingford, United Kingdom
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Add to basketPaperback. Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketCondition: As New. Unread book in perfect condition.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Language: English
Published by Oreilly & Associates Inc, 2023
ISBN 10: 1098135725 ISBN 13: 9781098135720
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Add to basketPaperback. Condition: Brand New. 2nd edition. 380 pages. 9.19x7.00x0.85 inches. In Stock.