machine learning

We developed a machine learning application. We tested different methods of solving a supervised classification predictive analytics problem. We could: Develop data ingestion and pre-processing code Run multiple models Evaluate the fit of the models Prepare to port the code into an HDFS production environment

Given a set of feature vectors where each vector represents features found in a given column of data, we clustered these columns into a set of discrete domains based on the similarity of the feature vectors. We used Latent Dirichlet Allocation as the clustering technique. We refined the domain classification algorithm used in step [...]

Our clients wanted to have one or more algorithms built that could use large, healthcare paid claim data sets and identify those claims most likely to be part of an accident, as well as most likely to NOT be part of an accident.  It is possible that there may need to be separate algorithms [...]

A law office required a web based program that would allow the user to enter as much (or as little) information as is known about an individual (debtor) in order to initiate an API web search of specific internet sites such as Facebook, LinkedIn, Twitter, Google, etc. Database Platform Functionalities included: Database capable of [...]

A health technology startup trained using the world’s diagnostic image largest training set. We helped our clients with: Software Architecture Enhancements Hardware Setup Validation Neural Network Architecture and General ML Advisory We speeded up non-core parts of the training cycle and pipeline. We implemented any enhancements which could cut down the image processing time. [...]

The scope of the project was for two different locations on our clients’ e-commerce site, with differing strategies, that they wanted to build models to solve for. We built revenue-driving cross-sell recommendation models that: Provided their customers with relevant products that satisfy, surprise and delight - at the right time Brought awareness of product [...]

Our clients needed to predict the sales per day for each of the next 100 days.  They wanted to have a data science program that can also look at adjacent factors that influence sale including location and weather. We created a general-purpose data science module in python or R that could - Digest the [...]