Data Science and Machine Learning
Building successful careers in the field, from technical skill development to career strategy and networking.
Design, build and maintain the infrastructure required to store, process and analyze large data set for accessibility and workflow.
Using data to help companies make strategic decisions by creating dashboards, reports and visualizations that show business performance.
developing algorithms that enable machines to interpret, analyze and understand visual data from the real world, such as images and videos.
Deploying and maintaining machine learning models in production by ensuring that models are scalable and integrated into broader software systems
Building systems that enable machines to understand, interpret and generate human language in a meaningful way.
