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Publicado por O'Reilly Media 9/5/2023, 2023
ISBN 10: 1098135725 ISBN 13: 9781098135720
Idioma: Inglés
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Añadir al carritoPaperback or Softback. Condición: New. Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning 1.45. Book.
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Publicado por O'Reilly Media, Sebastopol, 2023
ISBN 10: 1098135725 ISBN 13: 9781098135720
Idioma: Inglés
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Añadir al carritoPaperback. Condición: new. Paperback. 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, 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 that 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 neighborsSupporting vector machines (SVM), naaeve Bayes, clustering, and tree-based modelsSaving, loading, and serving trained models from multiple frameworks About the Author Kyle Gallatin is a software engineer for machine learning infrastructure with years of experience as a data analyst, data scientist and machine learning engineer. He is also a professional data science mentor, volunteer computer science teacher and frequently publishes articles at the intersection of software engineering and machine learning. Currently, Kyle is a software engineer on the machine learning platform team at Etsy. Chris Albon is the Director of Machine Learning at the Wikimedia Foundation, the non-profit that hosts Wikipedia. This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Publicado por Oreilly & Associates Inc, 2023
ISBN 10: 1098135725 ISBN 13: 9781098135720
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 2nd edition. 380 pages. 9.19x7.00x0.85 inches. In Stock.
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Publicado por O'reilly Media Sep 2023, 2023
ISBN 10: 1098135725 ISBN 13: 9781098135720
Idioma: Inglés
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - 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, 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 that 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.
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EUR 110,42
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Añadir al carritoSoft cover. Condición: New. 2nd Edition.
Publicado por O'Reilly Media, Sebastopol, 2023
ISBN 10: 1098135725 ISBN 13: 9781098135720
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 101,82
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Añadir al carritoPaperback. Condición: new. Paperback. 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, 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 that 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 neighborsSupporting vector machines (SVM), naaeve Bayes, clustering, and tree-based modelsSaving, loading, and serving trained models from multiple frameworks About the Author Kyle Gallatin is a software engineer for machine learning infrastructure with years of experience as a data analyst, data scientist and machine learning engineer. He is also a professional data science mentor, volunteer computer science teacher and frequently publishes articles at the intersection of software engineering and machine learning. Currently, Kyle is a software engineer on the machine learning platform team at Etsy. Chris Albon is the Director of Machine Learning at the Wikimedia Foundation, the non-profit that hosts Wikipedia. This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Publicado por Oreilly & Associates Inc, 2023
ISBN 10: 1098135725 ISBN 13: 9781098135720
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 74,34
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Añadir al carritoPaperback. Condición: Brand New. 2nd edition. 380 pages. 9.19x7.00x0.85 inches. In Stock. This item is printed on demand.