Sandy Ryza , Uri Laserson Advanced Analytics with Spark: Patterns for Learning from Data at Scale

(0)

Lovelybooks Bewertung

  • 1 Bibliotheken
  • 0 Follower
  • 0 Leser
  • 0 Rezensionen
(0)
(0)
(0)
(0)
(0)

Inhaltsangabe zu „Advanced Analytics with Spark: Patterns for Learning from Data at Scale“ von Sandy Ryza

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 Analyzing neuroimaging data with PySpark and Thunder
  • Rezensionen
  • Leserunden
  • Buchverlosungen
  • Themen
  • Was ist LovelyBooks?

    Über Bücher redet man gerne, empfiehlt sie seinen Freunden und Bekannten oder kritisiert sie, wenn sie einem nicht gefallen haben. LovelyBooks ist der Ort im Internet, an dem all das möglich ist - die Heimat für Buchliebhaber und Lesebegeisterte. Schön, dass du hier bist! Mehr Infos

    Buchliebe für dein Mailpostfach!

    Hol dir mehr von LovelyBooks