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Intro to Machine Learning with Python

Intro to Machine Learning with Python

This workshop provides an overview of several popular machine learning algorithms for classification problems. Examples may include Decision Trees, Random Forests, K-Nearest Neighbors, TensorFlow, Convolutional Neural Networks, and Long Short-Term Memory Networks.

 

Prerequisite:  Knowledge of Python and experience with Rivanna, UVA’s high-performance computing cluster.

 

Registrants will receive a reminder about the workshop and a Zoom link by e-mail three days before the workshop begins.

Date:
Friday, May 29, 2020
Time:
9:00am - 4:00pm
Location:
Online
Campus:
Brown Science & Engineering
Categories:
Data Workshop Workshop
Presenter:
Jackie Huband

Registration is required. There are 0 seats available.


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The U.Va. Library is committed to hosting library events that are inclusive and welcoming to all. If you need certain accommodations to participate fully in this event, please contact libevents@virginia.edu.

Event Organizer

Ricky Patterson