and make informed decisions An introduction to new sensor technologies, including spectral imaging and real-time color video, and the major classes of data analytics and machine learning methods used ...

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

The process involved in data analysis involves several steps: Data analytics is broken down into four basic types ... analysts can use several analytical methods and techniques to process data ...

However, in recent years the open source community has developed increasingly-sophisticated data manipulation, statistical analysis, and machine learning ... This tutorial is not meant as an ...

When business people talk Big Data ... analysis, document management, and threat assessment. Specific text analytics methods differ in the ways that they carry out the three basic operations.

The course introduces fundamental machine learning methods and algorithms for basic data analytics problems. These methods include algorithms for classification and regression problems, such as tree ...

Several statistical methods have been proposed for modelling survival analysis data. We will describe the most important models and illustrate their application using example datasets described in ...

Because it’s a programmable environment that uses command-line scripting, you can store a series of complex data-analysis steps ... a path to start using R for basic data work: Extracting ...