Patterns for learning from data at scale Ryza, Sandy creator aut Laserson, Uri aut Owen, Sean aut Wills, Josh aut text Beijing O'Reilly [2017] 2017 Second edition monographic eng XII, 264 S. Ill. 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. Lizenzbedingungen können den Zugang einschränken. License restrictions may limit access. Data Analyses & Machine Learning Big data Data mining Computer programs 1-4919-7295-5 978-1-4919-7295-3 Lizenzbedingungen können den Zugang einschränken. License restrictions may limit access. 190802 20190802144346.0 WIIW0000174