Difference between revisions of "User:Skohli"
From REU@MU
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*Try to learn Quantile regression | *Try to learn Quantile regression | ||
*Understand Pinball Loss Function | *Understand Pinball Loss Function | ||
− | ''Week 5(June 26 - June 30)''' | + | '''Week 5(June 26 - June 30)''' |
*Prepare slides for presentation | *Prepare slides for presentation | ||
*Present presentation | *Present presentation |
Revision as of 23:29, 29 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
- Met Dr. Povinelli 4 times: to discuss possible project topics, to get oriented with the lab, to decide on a project topic, and to establish weekly milestones
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
- Read
- 10.1109/PMAPS.2016.7764155
- https://doi.org/10.1016/j.energy.2016.07.090
- http://www.sciencedirect.com/science/article/pii/S1568494617302946
- Met Dr. Povinelli 3 times to discuss current progress
- Attended weekly book club meeting as suggested by mentor
Week 3 (June 12 - June 16)
- Tasks undertaken to improve skills
- Completed 6 weeks of the coursera tutorial on Machine Learning
- Completed 6 weeks of the Stanford class on Convolution Neural Networks for Visual Recognition
- Learned basics of Python
- Completed portion of online RCR training
- Attended weekly book club meeting as suggested by mentor
- Met Dr. Povinelli 2 times to discuss current progress
- Collected data
Week 4 (June 19 - June 23)
- Go through Machine Learning tutorials online
- Try to learn tensorflow
- Try to learn Quantile regression
- Understand Pinball Loss Function
Week 5(June 26 - June 30)
- Prepare slides for presentation
- Present presentation
- Work with Keras
- Make prelimary models
- Wish for faster computers