paperback. Condizione: 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!
Paperback. Condizione: 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!
Paperback. Condizione: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority!
Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
EUR 9,40
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Condizione: 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.
Lingua: Inglese
Editore: O'Reilly Media, Incorporated, 2018
ISBN 10: 1491989386 ISBN 13: 9781491989388
Da: Better World Books: West, Reno, NV, U.S.A.
Condizione: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
Condizione: good.
Da: Textbooks_Source, Columbia, MO, U.S.A.
Prima edizione
paperback. Condizione: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Condizione: New.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Anybook.com, Lincoln, Regno Unito
EUR 37,81
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: 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.
Da: Mooney's bookstore, Den Helder, Paesi Bassi
EUR 42,89
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Very good.
Condizione: 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.
Condizione: As New. Unread book in perfect condition.
EUR 49,98
Quantità: 15 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: California Books, Miami, FL, U.S.A.
EUR 57,83
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 58,73
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Da: Meadowland Media, Fayetteville, AR, U.S.A.
paperback. it'S NEW Ships same or next bu.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 49,97
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 56,63
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Chiron Media, Wallingford, Regno Unito
EUR 54,89
Quantità: 4 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
EUR 73,94
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 58,25
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Majestic Books, Hounslow, Regno Unito
EUR 68,36
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Paperback. Condizione: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Da: Antiquariat Mäander Quell, Waldshut-Tiengen, Germania
EUR 21,30
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: 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.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 79,25
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 78,07
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 380 pages. 9.19x7.00x0.85 inches. In Stock.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Paperback. Condizione: 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.