Difference between revisions of "User:Skohli"
From REU@MU
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*Read DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks | *Read DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks | ||
'''Week 2 (June 5 - June 9)''' | '''Week 2 (June 5 - June 9)''' | ||
| + | *Read chapter 4 of deep neural network book | ||
| + | *Attended GasDay camp | ||
| + | ** Learned what GasDay does | ||
| + | ** Benefits of working at GasDay | ||
| + | ** Further research opportunities at GasDay | ||
| + | ** How to work in a team | ||
| + | * Attended the Ethical research training | ||
| + | ** Learned key concepts such as not fabricating, falsifying, and plagiarizing | ||
Revision as of 01:50, 7 June 2017
Personal Information
- Incoming junior | Computer science major at Marquette
- Working with Dr. Povinelli in the GasDay Lab
Weekly Log
Week 1 (May 30 - June 2)
- Discussed preliminary project ideas with other researchers and mentor.
- Attended library tour.
- Attended the talk on how to conduct research.
- Read paper on the GEFcomp2014- Hongetal2016
- Read Bengio Learning Deep Architectures for AI
- Found more material to read.
- Attended weekly book club meeting as suggested by mentor
- Read chapter 1-3 in the book titled Deep Learning Book
- Read Probabilistic Forecasting by Gneting and Katzfuss
- Additive models and robust aggregation for GEFcomp2014 probabilistic electric load and electricity price forecasting by Gaillard, Goude, Nedellec.
- Read DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
Week 2 (June 5 - June 9)
- Read chapter 4 of deep neural network book
- Attended GasDay camp
- Learned what GasDay does
- Benefits of working at GasDay
- Further research opportunities at GasDay
- How to work in a team
- Attended the Ethical research training
- Learned key concepts such as not fabricating, falsifying, and plagiarizing
