Week-at-a-glance:
| Date | Hours Worked | Total Hours | Wall-sits | Caffeine |
|---|---|---|---|---|
| Monday, 7/11/16 | 7:45am – 5:32pm | 9hr47min | 3min | 3 cups: 273mg |
| Tuesday, 7/12/16 | 9:35am – 7:12pm | 9hr37min | 0min | 3 cups: 273 mg |
| Wednesday, 7/13/16 | 8:14am – 5:41pm | 9hr27min | 0min | 0 cups: 0mg |
| Thursday, 7/14/16 | 9:20am – 6:24pm | 9hr20min | 0min | 0 cups: 0mg |
| Friday, 7/15/16 | – | – | – | – |
I’m keeping my post short this week.
(last Friday, 7/8/16)
I implemented cosine distance, and was overjoyed when I found out how easy it was to embed python within a bash script.
My lightning was received positively. Devon received the crowd favorite vote, while Anne and myself received the Professor Connelly / Majdah award. I got ten dollars and spent it on a ticket to “A Midsummer Night’s Dream.”
Monday:
Continued working on the cosine distance script, but since implementation was worked out I focused heavily on input/output. Eventually this script would be used to match brand/generic drugs. I hit a couple road blocks toward the afternoon, the largest of which involved brand name drugs that were actually a combination of generic drugs (up to four or five).
Savannah and I worked on our paper into the afternoon. I wasn’t feeling well so I went home around 3:00pm and worked up until GRE prep started.
Tuesday:
Spent the whole day working on Savannah and I’s research poster. I get really picky on how things look, but I was quite proud with how this version turned out.
Draft of Poster
Wednesday:
I put some finishing details on the poster and submitted it by noon. I worked more on the script, making sure the pushes made it onto GitHub.
Most of the poster feedback had to do with the typeface size/readability, with some suggestions for intermediary images.
Professor Natarajan, Devendra, Savannah, Ciabhan, and I met at 4pm. We updated Professor on the direction of the project. He suggested moving directly onto the learning part (to ensure we could at least wrap up a paper by the time our REU finished), pointing me toward DeepDive, Savannah toward gradient boosting, and Devendra/Natarajan to continue on the neural network.
I read DeepDive documentation for a while and took the early steps to install it.
Thursday:
Spent most of the day working on logos and graphics for Devon / Aislinn’s app.
Reading group at 4pm, discussing the paper “Statistical Predicate Invention.”
Friday:
Robotics Competition, gone for the day.