158.333 Applied Machine Learning and Data Visualisation (15 credits)

An in-depth exploration of methods for developing intuition and insights about data that enables effective problem formulation and its solution through data-driven methods. A broad range of advanced machine learning and data mining algorithms will be used to build predictive models from real-world contexts. A particular emphasis will be on developing data-products, rapid prototyping and effectively communicating their value through visual storytelling and interpretable summaries. Topics covering Big Data challenges will also be explored.

Requirements Requirements help

  • Prerequisite(s): 158.222. At least 45 credits from 200 level.

Offerings Offerings help

Year Semester Mode Location
2018 Semester Two full semester Internal Auckland Campus

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