Posts Tagged ‘Data science’

Better Know the Districts

One might reasonably judge how well the congress reflects the views of the citizenry by examining the proportion of those citizens who think congress is doing a good job.

Avoiding Common Mistakes with Time Series

A basic mantra in statistics and data science is correlation is not causation. This is a lesson worth learning.

Listening to Caltrain: Analyzing Train Whistles with Data Science

As an R&D project, we have been playing with data science techniques to understand and predict delays in the Caltrain system.

Railroad Modeling at Hadoop Scale

Data Scientist Tatsiana Maskalevich and CTO John Akred presented at this year’s Hadoop Summit in San Jose.

Data Strategy in a World of Big Data

Silicon Valley Data Science has designed a new method to create a data strategy to overcome limitations of conventional approaches.

Successful Data Teams are Agile and Cross-Functional

A key element of Silicon Valley software product delivery teams is an agile delivery methodology—oil to the water of firm fixed price contracts.

Storing and Visualizing Time Series with Graphite

Graphite is a tool that does two things rather well: storing numeric time-series data (metric, value, epoch timestamp), and rendering graphs of this data on demand.

When Fair Isn’t Predictable: The Law of Averages

When making decisions with data, the idea that things will “even out” may ring true, but it’s not always helpful.