01584nam a22003137a 4500 8831 8831 WIIW0000174 OSt 20190802144346.0 a|||||q|||||00| 0 190802t2017 |||||q|||||00| 0 eng d 1-4919-7295-5 978-1-4919-7295-3 OSt eng Ryza, Sandy aut Advanced analytics with Spark. Patterns for learning from data at scale Second edition Beijing O'Reilly [2017] XII, 264 S. Ill. Lizenzbedingungen können den Zugang einschränken. License restrictions may limit access. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by presenting examples and a set of self-contained patterns for performing large-scale data analysis with Spark. 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. Data Analyses & Machine Learning Big data Data mining Computer programs Laserson, Uri aut Owen, Sean aut Wills, Josh aut E 0 0 0 0 BIB BIB 5 2019-08-02 0 2019-08-02 00:00:00 2019-08-02 E