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| === Group === Suggested to have pre-scheduled presentations. |
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| . Selecting a presenter by round-robin, random, voting? Decided on random, with a conversation with the willing presenter on the topic. Will announce the topic on the mailing-list in advance. Agreed. Need structured leadership at this point? Decided against. Changing date/time? Will look into this. === Home electrical use === Nick wanted some guidance about exploring electricity use by home appliances. Cory pointed him to a dataset on UCI. Talked about what kind of measurement granularity would be needed to disentagle appliances' usage. === Staying up on latest papers === arXiv has RSS feeds (and a Stats topic). R-Bloggers. Andrew Gelman's blog (lead developer on Stan language). Some of these are like firehoses. How to filter through it? We could write a machine-learning algorithm to do that.... Cory might give this a shot and share. === Any interesting readings? === David shared: http://blog.revolutionanalytics.com/2017/04/fitting-rational-functions-with-lm.html, https://www.countbayesie.com/blog/2017/5/9/kullback-leibler-divergence-explained |
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| * NEXT_MEETING_DATE * Be ready to discuss Chapter XXX of AnIntroductionToStatisticalLearning |
* 2017-07-13T12:00 * Nick will present on home appliance electrical use |
2017-06-08
Minutes
Group
Suggested to have pre-scheduled presentations.
- Selecting a presenter by round-robin, random, voting? Decided on random, with a conversation with the willing presenter on the topic. Will announce the topic on the mailing-list in advance. Agreed.
Need structured leadership at this point? Decided against.
Changing date/time? Will look into this.
Home electrical use
Nick wanted some guidance about exploring electricity use by home appliances. Cory pointed him to a dataset on UCI. Talked about what kind of measurement granularity would be needed to disentagle appliances' usage.
Staying up on latest papers
arXiv has RSS feeds (and a Stats topic). R-Bloggers. Andrew Gelman's blog (lead developer on Stan language).
Some of these are like firehoses. How to filter through it? We could write a machine-learning algorithm to do that.... Cory might give this a shot and share.
Any interesting readings?
David shared: http://blog.revolutionanalytics.com/2017/04/fitting-rational-functions-with-lm.html, https://www.countbayesie.com/blog/2017/5/9/kullback-leibler-divergence-explained
Next Time
- 2017-07-13T12:00
- Nick will present on home appliance electrical use