Technology > Machine learning

Classifiers

Use large datasets to train machine learning models that can be exported to Tensorflow for a developer to integrate.

Platform: Google Cloud AutoML

Natural language classifier

I trained a machine learning model to filter tweets posted by real humans about their personal experiences to a subject hash tag. The model is useful for surfacing research insights, especially for a topic that consists of a lot of noise, chatter and click bait.

Vision classifier

Trained and progressively tweeked a machine learning model to distinguish between healthy and infected individuals from a large dataset of chest x-rays. (This exercise was a part of the Udacity AI Product Manager Nanodegree course.)

Tabular data classifier

I used tabular machine learning to predict the most relevant research questions in a survey. This could help to reduce the total number of questions asked in future surveys, with the least impact on the outcome.

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