Sprache: Englisch
Verlag: O'Reilly Media, Incorporated, 2019
ISBN 10: 1492047546 ISBN 13: 9781492047544
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Anbieter: ThriftBooks-Atlanta, AUSTELL, GA, USA
Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Anbieter: Maxwell's House of Books, La Mesa, CA, USA
Erstausgabe
Soft cover. Zustand: Very Good. 1st Edition. A crisp, unmarked softcover in very good condition; faint tiny stains to textblock.
Anbieter: Hawking Books, Edgewood, TX, USA
Zustand: Very Good. Very Good Condition. Has some wear. Five star seller - Buy with confidence!
Anbieter: Arbor Scout, Ann Arbor, MI, USA
Zustand: New.
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Anbieter: Lakeside Books, Benton Harbor, MI, USA
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Anbieter: BargainBookStores, Grand Rapids, MI, USA
Paperback or Softback. Zustand: New. Machine Learning Pocket Reference: Working with Structured Data in Python. Book.
Paperback. Zustand: New. With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project.Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You'll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics.This pocket reference includes sections that cover:Classification, using the Titanic datasetCleaning data and dealing with missing dataExploratory data analysisCommon preprocessing steps using sample dataSelecting features useful to the modelModel selectionMetrics and classification evaluationRegression examples using k-nearest neighbor, decision trees, boosting, and moreMetrics for regression evaluationClusteringDimensionality reductionScikit-learn pipelines.
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition.
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 26,05
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: New. With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project.Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You'll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics.This pocket reference includes sections that cover:Classification, using the Titanic datasetCleaning data and dealing with missing dataExploratory data analysisCommon preprocessing steps using sample dataSelecting features useful to the modelModel selectionMetrics and classification evaluationRegression examples using k-nearest neighbor, decision trees, boosting, and moreMetrics for regression evaluationClusteringDimensionality reductionScikit-learn pipelines.
Sprache: Englisch
Verlag: O'Reilly Media, Sebastopol, 2019
ISBN 10: 1492047546 ISBN 13: 9781492047544
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Paperback. Zustand: new. Paperback. With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project.Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You'll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics.This pocket reference includes sections that cover:Classification, using the Titanic dataset Cleaning data and dealing with missing data Exploratory data analysis Common preprocessing steps using sample data Selecting features useful to the model Model selection Metrics and classification evaluation Regression examples using k-nearest neighbor, decision trees, boosting, and more Metrics for regression evaluation Clustering Dimensionality reduction Scikit-learn pipelines" With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 21,96
Anzahl: 10 verfügbar
In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
EUR 23,77
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: 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.
Zustand: NEW.
Anbieter: Brook Bookstore On Demand, Napoli, NA, Italien
Zustand: new.
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
Zustand: New. 2019. Revised. Paperback. . . . . .
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EUR 20,86
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In den Warenkorbpaperback. Zustand: New.
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In den WarenkorbPaperback. Zustand: Brand New. revised edition. 303 pages. 7.00x4.50x0.75 inches. In Stock.
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2019. Revised. Paperback. . . . . . Books ship from the US and Ireland.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 25,72
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
EUR 25,71
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In den WarenkorbPaperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days.
Anbieter: Books Puddle, New York, NY, USA
Zustand: New.
EUR 23,87
Anzahl: Mehr als 20 verfügbar
In den WarenkorbPaperback. Zustand: New. With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project.Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You'll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics.This pocket reference includes sections that cover:Classification, using the Titanic datasetCleaning data and dealing with missing dataExploratory data analysisCommon preprocessing steps using sample dataSelecting features useful to the modelModel selectionMetrics and classification evaluationRegression examples using k-nearest neighbor, decision trees, boosting, and moreMetrics for regression evaluationClusteringDimensionality reductionScikit-learn pipelines.
EUR 21,58
Anzahl: 2 verfügbar
In den WarenkorbZustand: NEW.
Sprache: Englisch
Verlag: O'Reilly Media, Sebastopol, 2019
ISBN 10: 1492047546 ISBN 13: 9781492047544
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Paperback. Zustand: new. Paperback. With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project.Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You'll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics.This pocket reference includes sections that cover:Classification, using the Titanic dataset Cleaning data and dealing with missing data Exploratory data analysis Common preprocessing steps using sample data Selecting features useful to the model Model selection Metrics and classification evaluation Regression examples using k-nearest neighbor, decision trees, boosting, and more Metrics for regression evaluation Clustering Dimensionality reduction Scikit-learn pipelines" With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Anbieter: moluna, Greven, Deutschland
Zustand: New. With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient reso.