machine learning

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Machine Learning Engineer Nanodegree

Period: 28 August 2019 - 28 November 2019 (Ongoing)

Objectives: Build predictive models using a variety of unsupervised and supervised machine learning techniques. Understand cloud deployment terminology and best practices. Use Amazon SageMaker to deploy machine learning models to production environments, such as a web application or piece of hardware. A/B test two different deployed models and evaluate their performance. Utilize an API to deploy a model to a website such that it responds to user input, dynamically. Update a deployed model, in response to changes in the underlying data source.

More information, visit the Udacity Machine Learning Nanodegree webpage.


Last update: 4 July 2021