Distributed Machine Learning with PySpark by Abdelaziz Testas (Paperback Book)
Migrate from pandas and scikit-learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools.
Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning from small data libraries (pandas/scikit-learn) to big data processing and machine learning with PySpark. You will learn to translate Python code from pandas/scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular machine learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Na\u00EFve
Distributed Machine Learning with PySpark
Migrating Effortlessly from Pandas and Scikit-Learn
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Details:Distributed Machine Learning with PySpark by Abdelaziz Testas (Paperback Book)
Migrate from pandas and scikit-learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools.
Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning from small data libraries (pandas/scikit-learn) to big data processing and machine learning with PySpark. You will learn to translate Python code from pandas/scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular machine learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Na\u00EFve
Distributed Machine Learning with PySpark
Migrating Effortlessly from Pandas and Scikit-Learn
Free UK delivery on this item.
This brand new item is available with free UK delivery using Roya;
Price now:
From
£34.75
To
£41.74
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Product Description
Migrate from pandas and scikit-learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools.
Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning from small data libraries (pandas/scikit-learn) to big data processing and machine learning with PySpark. You will learn to translate Python code from pandas/scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular machine learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Na\u00EFve
Distributed Machine Learning with PySpark
Migrating Effortlessly from Pandas and Scikit-Learn
Free UK delivery on this item.
This brand new item is available with free UK delivery using Roya;
Product Specifications
General | |
|---|---|
format | trade paperback |
Language | english |
type | textbook |
Brand | APress |
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