TY  - BOOK
AU  - Ryza,Sandy
AU  - Laserson,Uri
AU  - Owen,Sean
AU  - Wills,Josh
TI  - Advanced analytics with Spark: Patterns for learning from data at scale
SN  - 1-4919-7295-5
PY  - 2017///]
CY  - Beijing
PB  - O'Reilly
KW  - Data Analyses & Machine Learning
KW  - Big data
KW  - Data mining
KW  - Computer programs
N1  - Lizenzbedingungen können den Zugang einschränken. License restrictions may limit access
N2  - 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
ER  -