Advanced Analytics with Spark: Patterns for Learning from Data at Scale
Key features
- •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
BrandO'Reilly Media
CategoryData Processing
Advanced Analytics with Spark: Patterns for Learning from Data at Scale
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