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.
1-4919-7295-5 978-1-4919-7295-3
Data Analyses & Machine Learning Big data Data mining--Computer programs