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Creating automated classification pipelines & selecting machine learning models for prediction.

Laila Wahedi, PhD, Postdoctoral Fellow at the Massive Data Institute, Georgetown University, discusses her research using a machine-learning pipeline for prediction, including an example of a machine-learning pipeline and when it could be needed, choosing a machine-learning model, the first step in...

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Bibliographic Details
Other Authors: Wahedi, Laila (Academic.)
Format: Video
Language:English
Language Notes:Closed-captions in English.
Published: London : SAGE Publications Ltd, 2019.
Subjects:
Machine learning.
Prediction theory.
Apprentissage automatique.
Théorie de la prévision.
Machine learning
Prediction theory
Online Access:Connect to this streaming video
Description
Summary:Laila Wahedi, PhD, Postdoctoral Fellow at the Massive Data Institute, Georgetown University, discusses her research using a machine-learning pipeline for prediction, including an example of a machine-learning pipeline and when it could be needed, choosing a machine-learning model, the first step in creating a pipeline, applying the bag-of-words model, other text-analysis models that can be used, deciding which model is best, and tools and resources helpful for students looking to use this method.
Physical Description:1 online resource (1 video file (00:17:33)) : sound, colour
ISBN:9781526499271
1526499274