Visualization, understanding and engineering of machine learning models for entity recognition

Machine learning is a discipline of teaching computers repeatable tasks that humans do well but slowly. At Interdata we are on a mission to use Artificial intelligence to understand the data being stored by organizations and the relationships between those data assets. As such Darrell will be working on methodologies and tools to expand our understanding of the algorithms we develop in order to improve them. He will then use those methodologies and tools to engineer new algorithms to be used by the organization to categorize and tranform data.

Faculty Supervisor:

David Duvenaud

Student:

Darrell Aucoin

Partner:

Interdata Laboratories Inc

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

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