Publicado por O'Reilly Media, United States, Sebastopol, 2018
ISBN 10: 1491989386 ISBN 13: 9781491989388
Idioma: Inglés
Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
EUR 19,80
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Añadir al carritoPaperback. Condición: Very Good. This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction and many other topics. Each recipe includes code that you can copy and paste into a toy dataset to ensure that it actually works. From there, you can insert, combine, or adapt the code to help construct your application. Recipes also include a discussion that explains the solution and provides meaningful context. This cookbook takes you beyond theory and concepts by providing the nuts and bolts you need to construct working machine learning applications. You'll find recipes for: Vectors, matrices, and arrays Handling numerical and categorical data, text, images, and dates and times Dimensionality reduction using feature extraction or feature selection Model evaluation and selection Linear and logical regression, trees and forests, and k-nearest neighbors Support vector machines (SVM), naive Bayes, clustering, and neural networks Saving and loading trained models. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Librería: Anybook.com, Lincoln, Reino Unido
EUR 38,33
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Añadir al carritoCondición: 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.
EUR 50,69
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
EUR 49,40
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Añadir al carritoPaperback. Condición: 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.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 55,83
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 60,81
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Añadir al carritoPaperback. Condición: 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.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 59,16
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Librería: California Books, Miami, FL, Estados Unidos de America
EUR 58,12
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Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 62,20
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Añadir al carritoPaperback. Condición: 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.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 48,56
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Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 50,68
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Librería: Antiquariat Mäander Quell, Waldshut-Tiengen, Alemania
EUR 23,10
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Añadir al carritoCondición: 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.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 52,86
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Añadir al carritoCondición: 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.
Librería: Goodwill, Brooklyn Park, MN, Estados Unidos de America
EUR 3,76
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Añadir al carritoCondición: 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.
EUR 72,34
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Añadir al carritoPaperback. Condición: 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.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 57,71
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 59,02
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Goodwill of Silicon Valley, SAN JOSE, CA, Estados Unidos de America
EUR 7,29
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Añadir al carritoCondición: 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.
EUR 80,92
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Añadir al carritoPaperback. Condición: 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.
Publicado por Oreilly & Associates Inc, 2023
ISBN 10: 1098135725 ISBN 13: 9781098135720
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 78,20
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Añadir al carritoPaperback. Condición: Brand New. 2nd edition. 380 pages. 9.19x7.00x0.85 inches. In Stock.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 83,75
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Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 4,40
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Añadir al carritoPaperback. Condición: 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!
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 90,72
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Librería: Toscana Books, AUSTIN, TX, Estados Unidos de America
EUR 79,58
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 105,01
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Añadir al carritoCondición: 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.
Publicado por Oreilly & Associates Inc, 2018
ISBN 10: 1491989386 ISBN 13: 9781491989388
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 131,71
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Añadir al carritoPaperback. Condición: Brand New. 349 pages. 9.00x6.75x0.75 inches. In Stock.
Librería: BestAroundDeals, Grand Rapids, MI, Estados Unidos de America
EUR 105,67
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Añadir al carritoSoft cover. Condición: New. 2nd Edition.
Publicado por Oreilly & Associates Inc, 2023
ISBN 10: 1098135725 ISBN 13: 9781098135720
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 72,16
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 2nd edition. 380 pages. 9.19x7.00x0.85 inches. In Stock. This item is printed on demand.