{"product_id":"9781491972908","title":"Advanced Analytics with Spark: Patterns for Learning from Data at Scale","description":"\u003cp\u003eIn 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.\u003c\/p\u003e\u003cp\u003eYou’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.\u003c\/p\u003e\u003cp\u003ePatterns include:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eRecommending music and the Audioscrobbler data set\u003c\/li\u003e\n\u003cli\u003ePredicting forest cover with decision trees\u003c\/li\u003e\n\u003cli\u003eAnomaly detection in network traffic with K-means clustering\u003c\/li\u003e\n\u003cli\u003eUnderstanding Wikipedia with Latent Semantic Analysis\u003c\/li\u003e\n\u003cli\u003eAnalyzing co-occurrence networks with GraphX\u003c\/li\u003e\n\u003cli\u003eGeospatial and temporal data analysis on the New York City Taxi Trips data\u003c\/li\u003e\n\u003cli\u003eEstimating financial risk through Monte Carlo simulation\u003c\/li\u003e\n\u003cli\u003eAnalyzing genomics data and the BDG project\u003c\/li\u003e\n\u003cli\u003eAnalyzing neuroimaging data with PySpark and Thunder\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"O'Reilly Media, Incorporated","offers":[{"title":"Default Title","offer_id":47126307602672,"sku":"9781491972908","price":42.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781491972908_p0.jpg?v=1763661534","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781491972908","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}