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Abdelaziz Testas Distributed Machine Learning with PySpark (Paperback)

Description: Further DetailsTitle: Distributed Machine Learning with PySparkCondition: NewFormat: PaperbackSubtitle: Migrating Effortlessly from Pandas and Scikit-LearnEAN: 9781484297506ISBN: 9781484297506Publisher: APressRelease Date: 11/24/2023Description: 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, Naïve Bayes, and neural networks. After completing this book, you will understand the foundational concepts of data preparation and machine learning and will have the skills necessary toapply these methods using PySpark, the industry standard for building scalable ML data pipelines. What You Will Learn Master the fundamentals of supervised learning, unsupervised learning, NLP, and recommender systemsUnderstand the differences between PySpark, scikit-learn, and pandasPerform linear regression, logistic regression, and decision tree regression with pandas, scikit-learn, and PySparkDistinguish between the pipelines of PySpark and scikit-learn   Who This Book Is ForData scientists, data engineers, and machine learning practitioners who have some familiarity with Python, but who are new to distributed machine learning and the PySpark framework.Language: EnglishCountry/Region of Manufacture: USItem Height: 254mmItem Length: 178mmAuthor: Abdelaziz TestasGenre: Computing & InternetRelease Year: 2023 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.

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Location: 60502

End Time: 2024-11-12T02:39:44.000Z

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Abdelaziz Testas Distributed Machine Learning with PySpark (Paperback)

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Book Title: Distributed Machine Learning with PySpark

Title: Distributed Machine Learning with PySpark

Subtitle: Migrating Effortlessly from Pandas and Scikit-Learn

EAN: 9781484297506

ISBN: 9781484297506

Release Date: 11/24/2023

Release Year: 2023

Country/Region of Manufacture: US

Item Height: 254mm

Genre: Computing & Internet

Number of Pages: Xx, 490 Pages

Publication Name: Distributed Machine Learning with Pyspark : Migrating Effortlessly from Pandas and Scikit-Learn

Language: English

Publisher: Apress L. P.

Subject: Intelligence (Ai) & Semantics, Probability & Statistics / General, General, Programming Languages / Python

Publication Year: 2023

Type: Textbook

Item Weight: 34 Oz

Author: Abdelaziz Testas

Subject Area: Mathematics, Computers

Item Length: 10 in

Item Width: 7 in

Format: Trade Paperback

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