User:Skohli

Personal Information

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