Analytics

Analytics

The analytics space is expansive – it forms the basis for most of what Track 2 does. Explore the website to learn for more of our analytics expertise and experience

Sample types of analytics

Text analytics (e.g., TF-IDF, word2vec, fuzzy matching)
Sports analytics (e.g., body kinematics, athletic performance metrics)
Human performance analytics (e.g., training exercise analysis)
Motion analyses (e.g., vehicles, micro-organisms)

Example

Data Science

Track 2 has been doing Data Science for decades. From Dr. McKenna’s previous client work, to Kaggle competitions, to hackathons and open data challenges, our experience and expertise is both broad and deep. Areas of expertise include:

Topic modeling, sentiment analysis
Regression and classification
Supervised machine learning: Random forests, neural nets, support vector machines, k-nearest neighbors
Unsupervised machine learning: k-means, autoencoders, dimensionality reduction

Example 1

Example 2

Example 3

AI

Track 2 has worked with the foundations of AI – deep learning routines – for many years. Dr. McKenna has used these tools for tasks such as image classification, acoustic signal classification, emotion classification, and more.

Example