Difference between revisions of "User:Skohli"

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(Weekly Log)
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**https://doi.org/10.1016/j.energy.2016.07.090
 
**https://doi.org/10.1016/j.energy.2016.07.090
 
**http://www.sciencedirect.com/science/article/pii/S1568494617302946
 
**http://www.sciencedirect.com/science/article/pii/S1568494617302946
 +
*Met Dr. Povinelli 3 times to discuss current progress
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'''Week 3 (June 12 - June 16)'''
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*Tasks undertaken to improve skills
 +
**Partially completed the coursera tutorial on Machine Learning
 +
**Partially completed the Stanford class on Convolution Neural Networks for Visual Recognition
 +
**Learned basics of Python
 +
*Completed portion of online RCR training

Revision as of 19:48, 16 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)

Week 3 (June 12 - June 16)

  • Tasks undertaken to improve skills
    • Partially completed the coursera tutorial on Machine Learning
    • Partially completed the Stanford class on Convolution Neural Networks for Visual Recognition
    • Learned basics of Python
  • Completed portion of online RCR training