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Advanced analytics with Spark : [patterns for learning from data at scale] / Sandy Ryza; Uri Laserson; Sean Owen, and Josh Wills

Contributor(s): Resource type: Ressourcentyp: BuchBookLanguage: English Publisher: Beijing ; Köln [u.a.] : O'Reilly, 2015Edition: 1. edDescription: XII, 260 S. : Ill. ; 24 cmISBN:
  • 9781491912768
Subject(s): Additional physical formats: 9781491912737. | 9781491012713. | 9781491912706. | Erscheint auch als: Advanced analytics with Spark. Online-Ausgabe First edition. Sebastopol, CA : O'Reilly, 2015. 1 online resource (xii, 260 pages)DDC classification:
  • 006.3/12 23
  • 004
  • 004
RVK: RVK: ST 250 | ST 253LOC classification:
  • QA76.9.D343
Contents:
Summary: "In 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. You'll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques-classification, collaborative filtering, and anomaly detection among others-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 these patterns useful for working on your own data applications. Patterns include: Recommending music and the Audioscrobbler data set, Predicting forest cover with decision trees, Anomaly detection in network traffic with K-means clustering, Understanding Wikipedia with Latent Semantic Analysis, Analyzing co-occurrence networks with GraphX, Geospatial and temporal data analysis on the New York City Taxi Trips data, Estimating financial risk through Monte Carlo simulation, Analyzing genomics data and the BDG project and Analyzing neuroimaging data with PySpark and Thunder." from publisher's websiteCall number: Grundsignatur: 2015 A 2758PPN: PPN: 817878483
Holdings
Item type Home library Collection Shelving location Call number Copy number Status Date due Barcode
Freihandbestand ausleihbar Bibliothek Campus Süd inf 5.6 Lesesaal Wirtschaftswissenschaften und Informatik (LSW) 2015 A 2758 Available 51736788090
Handbibliothek IAI inf 5.6 Handbibliothek (Ausleihe und Einsicht nicht möglich) 2015 A 2758 ;b Checked out Ausleihe und Einsicht nicht möglich 28.09.2042 51787985090
Total holds: 0