Cardinal Peak
Blog Post
Outsourced Engineering

Matt Osminer Featured as a Synscort Blog Expert Interview

This past week, Cardinal Peak director of server and web software engineering, Matt Osminer was featured in an in-depth, two-part expert interview on the Synscort blog. Matt discusses Big Data and many of the solutions we employ at Cardinal Peak. He also talks about dev ops, when to outsource, and improving ROI in data management.... View Article
Mike Perkins
Blog Post
Signal Processing

Why Sample Size and Random Sampling Matters

Recently we tweeted an interesting article on big data, from the Financial Times. The author’s key point is that sampling bias and sampling error are possible even with large data sets. As illustration, the author discusses a classic case where the Literary Digest incorrectly predicted that Alf Landon would beat FDR in the 1936 election.... View Article
Mike Perkins
Blog Post
Signal Processing

Big Data, Probability and Birthdays: Part 2 of 2

In Part One of this blog post, I discussed how to state an experiment in the form of probability spaces. Determining the sample space and the event space is necessary to be able to talk intelligently about probability measures, which is the topic of this post. Approach 1: Counting We’ve figured out the sample space... View Article
This past week, Cardinal Peak director of server and web software engineering, Matt Osminer was featured in an in-depth, two-part expert interview on the Synscort blog. Matt discusses Big Data and many of the solutions we employ at Cardinal Peak. He also talks about dev ops, when to outsource, and improving ROI in data management.... View Article
Recently we tweeted an interesting article on big data, from the Financial Times. The author’s key point is that sampling bias and sampling error are possible even with large data sets. As illustration, the author discusses a classic case where the Literary Digest incorrectly predicted that Alf Landon would beat FDR in the 1936 election.... View Article
In Part One of this blog post, I discussed how to state an experiment in the form of probability spaces. Determining the sample space and the event space is necessary to be able to talk intelligently about probability measures, which is the topic of this post. Approach 1: Counting We’ve figured out the sample space... View Article
Mike Perkins
Blog Post
Signal Processing

Big Data, Probability and Birthdays: Part 1 of 2

Cardinal Peak’s big data practice is expanding as we continue adding data scientists to our staff. In a recent discussion regarding a data set we’re analyzing, a probability problem conceptually equivalent to the following arose: In a room filled with N people, what is the probability that none of them have the same birthday? In... View Article
Cardinal Peak’s big data practice is expanding as we continue adding data scientists to our staff. In a recent discussion regarding a data set we’re analyzing, a probability problem conceptually equivalent to the following arose: In a room filled with N people, what is the probability that none of them have the same birthday? In... View Article