The TACC Institute Series

Immersive Training in Advanced Computation


Marine Sciences Machine Learning Workshop

August 9 - August 20, 2021

Data is everywhere. Researchers are increasingly using Machine Learning techniques to dig through huge datasets and discover hidden insights. These techniques may not be a silver bullet for solving big problems, but they are powerful tools in building a system to understand and quantify the data so the picture is clearer.

This summer, Simon Fraser University (SFU) is teaming up with The Texas Advanced Computing Center (TACC) to offer a Marine Sciences Machine Learning Workshop, focused on applying Machine Learning and Deep Learning tools and techniques to marine biology, in an effort to better analyze and categorize datasets unique to this field.

In this two week workshop, attendees will learn techniques in supervised and unsupervised learning, as well as the technologies and principles required in scalable computing. During this virtual event, attendees will have the opportunity to learn from both TACC and SFU researchers and scientists. Attendees will also participate in a guided hackathon to immediately apply the topics learned and analyze real world datasets from marine sciences, using TACC's wide array of advanced computing resources, including the Frontera supercomputer.

Topics covered in this workshop include: Jupyter, Python, Machine Learning using: Unsupervised Learning with Principal Component Analysis, Clustering, Multidimensional Scaling, Supervised Learning using Linear Modeling, Support-Vector Machine, Tree-based Classifiers, and Naive Bayesian Classifiers, as well as Deep Learning techniques on building Neural Networks with Convolutional Neural Networks and Recurrent Neural Networks, and Distributed Learning.

This workshop will run August 9 to August 20, from 8:30am to 10:30pm and then 12:00pm to 2:00pm PDT each day. Additional pre- and post- workshop training and mentoring, which will be included in the registration fee, will be announced soon.


Cancellation/Refund Policy

You may request to cancel your registration and receive a refund (minus $50 administrative charge) up to 14 days before the event starts. Cancellation notices received less than 14 days before the start of the event will not be eligible for a refund.