Difference between revisions of "User:Lwebster"
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=== Week 1 (5/29-6/1) === | === Week 1 (5/29-6/1) === | ||
− | + | '''Overall Goal: Clarify project topic, clear up any confusions on the previous reading, read a different take about Gaussian Stochastic Processes''' | |
* Attended REU Orientation | * Attended REU Orientation | ||
* Met [http://www.marquette.edu/mscs/facstaff-spiller.shtml Elaine Spiller] and discussed previously assigned reading from the week before (Chapter 1-2,2 of Gaussian Processes for Machine Learning, C. E. Rasmussen & C. K. I. Williams) | * Met [http://www.marquette.edu/mscs/facstaff-spiller.shtml Elaine Spiller] and discussed previously assigned reading from the week before (Chapter 1-2,2 of Gaussian Processes for Machine Learning, C. E. Rasmussen & C. K. I. Williams) |
Revision as of 20:12, 30 May 2018
Personal Info
Lindsay Webster is a double major in Mathematics and Theatre Arts, in the Honors Program at Marquette University. She will graduate in 2019. She is the Production Manager of Marquette's Helfaer Theatre, where she also serves as a performer and occasionally a set designer. She served as Treasurer of the Marquette University Players Society for two years. She recently made a probabilistic mathematical model to predict the winner of Best Musical at the annual Tony Awards. So if you're wondering how Mathematics and Theatre Arts combine, that's it.
Research Topic
How Gaussian Stochastic Processes can be used to predict landslide behaviors.
Weekly Log
Week 1 (5/29-6/1)
Overall Goal: Clarify project topic, clear up any confusions on the previous reading, read a different take about Gaussian Stochastic Processes
- Attended REU Orientation
- Met Elaine Spiller and discussed previously assigned reading from the week before (Chapter 1-2,2 of Gaussian Processes for Machine Learning, C. E. Rasmussen & C. K. I. Williams)
- Set up lab accounts and learned how to access the Wiki page
- Learned about Library resources
- Met with Elaine Spiller and was assigned new readings regarding Gaussian Stochastic Processes