Description: Advanced Analytics With Pyspark : Patterns for Learning from Data at Scale Using Python and Spark, Paperback by Tandon, Akash; Ryza, Sandy; Laserson, Uri; Owen, Sean; Wills, Josh, ISBN 1098103653, ISBN-13 9781098103651, Brand New, Free shipping in the US The amount of data being generated today is staggering and growing. Apache Spark has emerged as the de facto tool to analyze big data and is now a critical part of the data science toolbox. Updated for Spark , this practical guide brings together Spark, statistical methods, and real-world datasets to teach you how to approach analytics problems using PySpark, Spark's Python API, and other best practices in Spark programming. Data scientists Akash Tandon, Sandy Ryza, Uri Laserson, Sean Owen, and Josh Wills offer an introduction to the Spark ecosystem, then dive into patterns that apply common techniques-including classification, clustering, collaborative filtering, and anomaly detection, to fields such as genomics, security, and finance. This updated edition also covers NLP and image processing. If you have a basic understanding of machine learning and statistics and you program in Python, this book will get you started with large-scale data analysis.Familiarize yourself with Spark's programming model and ecosystemLearn general approaches in data scienceExamine complete implementations that analyze large public datasetsDiscover which machine learning tools make sense for particular problemsExplore code that can be adapted to many uses
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End Time: 2024-08-25T21:11:17.000Z
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Restocking Fee: No
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Book Title: Advanced Analytics With Pyspark : Patterns for Learning from Data
Number of Pages: 275 Pages
Language: English
Publication Name: Advanced Analytics with Pyspark : Patterns for Learning from Data at Scale Using Python and Spark
Publisher: O'reilly Media, Incorporated
Publication Year: 2022
Subject: Data Processing, Databases / Data Mining, Programming Languages / Python
Item Height: 0.6 in
Item Weight: 14.5 Oz
Type: Textbook
Subject Area: Computers
Item Length: 9.2 in
Author: Akash Tandon, Sean Owen, Uri Laserson, Josh Wills, Sandy Ryza
Item Width: 6.9 in
Format: Trade Paperback
