Embedding large data sets typically requires more care. Using various tricks described in preserving_global_structure can become quite slow to run. Instead, we can take a smaller, manageable sample of ...

This vignette explains the details of the large traffic data set known as UTD19 collected by Allister Loder and Lukas Ambühl from ETH Zurich. The data was first ...

Companies have become used to making decisions based on big data sets. They use spreadsheet software to analyze and use that ...

Special emphasis will be given to techniques for data warehousing where extremely large datasets (e.g.,many terabytes) are processed. The course also covers Web mining. Topics covered include analysis ...

Continuous assessment (10%) in the LT Week 4. Continuous assessment (10%) in the LT Week 7. The main assessment will consist of an individual project to develop a package for fitting statistical ...

If you are preparing for a business intelligence (BI) case interview, you may encounter a scenario where you have to analyze a large data set and derive insights from it. This can be challenging ...

Bioinformatics, an interdisciplinary branch of research that combines biology, chemistry, computer science and statistics, has become an essential tool to analyse big data sets — as demonstrated ...

thanks in large part to innovative startups and systems for collecting and analyzing big data. Traditionally, genetic studies have been conducted on populations with a predominately European ...

Abstract: Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting nonobvious and useful patterns from large data sets. Many of the elements of data ...