Machine Learning ‘soup to nuts’ 176
Machine Learning ‘soup to nuts’
Approved 6
Follow the speaker's journey to build an AI application that does real-time fraud detection. In this session, we will start with nothing more than historical data in a database. We'll go through the entire process of ingesting the data, training a model, and finally deploying an inferencing pipeline using Kubeflow, KServe, and other open source tools.
Date & Time
Tuesday November 5th, 2024 5:15pm EST
End Date & Time
Tuesday November 5th, 2024 6:15pm EST
Venue
Harbour B
Speakers
William Xiang
Session Format
Standard 60 Minute Session
Learning Objectives
PLACEHOLDER
Audience
PLACEHOLDER
Session Level
Beginner
Evaluation Link
https://docs.google.com/forms/d/e/1FAIpQLScZUqaHcpJfO1HYO4XDagewGyp12uhBOCbFHeU3zFMSGu8Egg/viewform?usp=pp_url&entry.86355973=Machine Learning ‘soup to nuts’&entry.1165051396=William Xiang
Conference NAViGATE Toronto

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