Matrix Profile API: A novel cross language time-series mining library

Short talk

Go to NumFOCUS academy page.

The explosive growth of the data science community provides a hurdle for traditional time-series analysis methods, as many practitioners lack experience in advanced mathematical and statistical principles. To make time-series data mining more approachable, we have developed a novel Matrix Profile-based suite of libraries for novices and advanced practitioners.

Speakers

Tyler Marrs

I’m a Lead Data Science Engineer working in the transportation industry and a board member of the Matrix Profile Foundation.

Andrew Van Benschoten

I’m the Head of Data Science at Ovative Group, a Minneapolis-based marketing firm that’s transforming the measurement of marketing success. I love all things open-source, causal inference and coffee-based.