In 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.
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.
Recommending music and the Audioscrobbler data set
Predicting forest cover with decision trees
Anomaly detection in network traffic with K-means clustering
Understanding Wikipedia with Latent Semantic Analysis
Analyzing co-occurrence networks with GraphX
Geospatial and temporal data analysis on the New York City Taxi Trips data
Estimating financial risk through Monte Carlo simulation
Analyzing genomics data and the BDG project
Analyzing neuroimaging data with PySpark and Thunder
Citrix XenServer 6.0 Administration Essential Guide
Citrix XenServer is a complete, managed server virtualization platform built on the
Xen hypervisor. You can use XenServer for virtualizing Microsoft Windows and
Linux servers easily and efficiently.
XenServer is the enterprise-ready, cloud-proven virtualization platform that contains
all the capabilities required...
Building Blocks of Matter (MacMillan Science Library)
The concepts and ideas of elementary particle physics
are abstract, and they are typically expressed in the
language of mathematics. However, the goal of elementary
particle physics is very simple, and all the efforts
of elementary particle physicists are directed
toward that simple goal: to identify the basic building...
Programming in Lua
Lua is the language of choice for anyone who needs a scripting language that is simple, efficient, extensible, portable, and free. Currently, Lua is being used in areas ranging from embedded systems to Web development and is widely spread in the game industry, where knowledge of Lua is an indisputable asset. Lua also has established itself as...