Hougland, Juliet

Advanced Analytics with Spark: Patterns for Learning from Data at Scale

(No reviews yet) Write a Review
ISBN 13:
9781491972953
author:
Hougland, Juliet
format:
Paperback
publisher:
O'Reilly Media, Inc, USA
language:
English
Publication Year:
2017
Pages:
330
Dimensions:
17.78 x 1.27 x 23.11 centimetres
Genre:
Computers, Computer Science, Data Modeling
Condition:
New
Availability:
Item usually sent within 10 working days
£35.78

Description

Learn to approach analytics problems by example with Spark, statistical methods, and real-world data sets. This practical book presents a set of self-contained patterns for performing large-scale data analysis with Spark, covering techniques such as classification, clustering, collaborative filtering, and anomaly detection in fields like genomics, security, and finance. Updated for Spark 2.1, the second edition acts as an introduction to these techniques and other best practices in Spark programming. You'll start by familiarizing yourself with the Spark programming model and then learn general approaches in data science, examining complete implementations that analyze large public data sets. With this book, you'll discover which machine learning tools make sense for particular problems and acquire code that can be adapted to many uses. If you have an entry-level understanding of machine learning and statistics, and program in Java, Python, or Scala, you'll find the book's patterns useful for working on your own data applications.

View AllClose

Related Products

Related Products