Predicting Embeddings for Better Classification (featuring Semantic Similarity)

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Start: 1:00PM
End: 1:30PM
Date:
Saturday, March 9, 2024
Location
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KPMG Stage
407 9 Ave SE, Calgary, AB
Calgary, AB T2G 2K7
Canada
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About This Talk

Target Audience: Familiarity with ML / Natural Language and Embeddings

Description: This talk will talk about my most recent project where I developed a novel solution to tackle a fairly complicated problem. We will go over things like Tree Algorithms, Neural Networks and the use of Embeddings in Classification.

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Speakers

Sharyar Memon

Machine Learning Engineer, Workday
Machine Learning Engineer
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Sharyar Memon

Machine Learning Engineer, Workday
Machine Learning Engineer

I am Sharyar and I work as an ML Engineer at Workday. My background starts with an undergrad degree in microbiology where my research supervisor thought I had an unhealthy interest in the computer vs the test tubes. My path to my current role is anything but typical. I have worked as an administrator, a photographer, and a biologist. All of these roles have allowed me to develop perspective and skills that assist me in my job today. I have worked on a variety of projects ranging from interpreters to ML for drug discovery.

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