Seller: Anybook.com, Lincoln, United Kingdom
Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9781491989388.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 42.64
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: Antiquariat Mäander Quell, Waldshut-Tiengen, Germany
£ 20.71
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Add to basketCondition: Gut. 349 S. - Wir versenden aus unserem deutschen Lager heraus in plastikfreien oder wiederverwendeten Polstertaschen. Sprache: Englisch Gewicht in Gramm: 666 Taschenbuch, Maße: 17.15 cm x 1.91 cm x 22.86 cm.
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
£ 48.07
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 49.66
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Add to basketCondition: As New. Unread book in perfect condition.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 49.78
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Add to basketCondition: New. In.
£ 52.34
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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: GreatBookPrices, Columbia, MD, U.S.A.
£ 41.81
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Seller: California Books, Miami, FL, U.S.A.
£ 50.04
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
£ 44.45
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Add to basketCondition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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.
£ 49.69
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Seller: Goodwill, Brooklyn Park, MN, U.S.A.
£ 3.27
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Add to basketCondition: Acceptable. There is some writing through out the book. Corners are bent. There is some underlining through out the book. There is some highlighting through out the book. Cover/Case has some rubbing and edgewear. Access codes, CDs, slipcovers and other accessories may not be included.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Published by Oreilly & Associates Inc, 2023
ISBN 10: 1098135725 ISBN 13: 9781098135720
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 2nd edition. 380 pages. 9.19x7.00x0.85 inches. In Stock.
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
£ 6.30
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Add to basketCondition: acceptable. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Acceptable condition! Any other included accessories are also in Acceptable condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear such as cover tears discoloration, staining, marks, scuffs, etc. All pages intact.
Seller: Books Puddle, New York, NY, U.S.A.
£ 77.96
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Seller: HPB-Red, Dallas, TX, U.S.A.
£ 3.79
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Add to basketPaperback. 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!
Seller: Toscana Books, AUSTIN, TX, U.S.A.
£ 68.47
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Add to basketPaperback. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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.
Published by Oreilly & Associates Inc, 2018
ISBN 10: 1491989386 ISBN 13: 9781491989388
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 349 pages. 9.00x6.75x0.75 inches. In Stock.
£ 52.35
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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: BestAroundDeals, Grand Rapids, MI, U.S.A.
£ 90.98
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Add to basketSoft cover. Condition: New. 2nd Edition.
Published by Oreilly & Associates Inc, 2023
ISBN 10: 1098135725 ISBN 13: 9781098135720
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 2nd edition. 380 pages. 9.19x7.00x0.85 inches. In Stock. This item is printed on demand.