Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition - Sandy Ryza, Uri Laserson, Sean Owen

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Książkę Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition można najtaniej kupić w sklepie internetowym ebookpoint.pl za jedyne 143.65zł.
Średnia cena książki Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition wynosi 143.65zł.

Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition - Sandy Ryza, Uri Laserson, Sean Owen Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition Sandy Ryza, Uri Laserson, Sean Owen ebookpoint
ebookpoint.pl od 143.65PLN
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Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition - Sandy Ryza, Uri Laserson, Sean Owen

Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition za 143.65 zł

Cena: 143.65
Sklep: ebookpoint.pl
Kup teraz Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition za 143.65 zł w księgarni ebookpoint.pl
Wydawca: ebookpoint
Kategoria: bez kategorii
ISBN: 9781491972908
Waga: b/d kg
Rok wydania: 2020

In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other best practices in Spark programming.You...ll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques-including classification, clustering, collaborative filtering, and anomaly detection-to fields such as genomics, security, and finance.If you have an entry-level understanding of machine learning and statistics, and you program in Java, Python, or Scala, you...ll find the book...s patterns useful for working on your own data applications.With this book, you will:Familiarize yourself with the Spark programming modelBecome comfortable within the Spark ecosystemLearn general approaches in data scienceExamine complete implementations that analyze large public data setsDiscover which machine learning tools make sense for particular problemsAcquire code that can be adapted to many uses

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