hunch_net hunch_net-2005 hunch_net-2005-75 knowledge-graph by maker-knowledge-mining
Source: html
Introduction: We just finished the Chicago 2005 Machine Learning Summer School . The school was 2 weeks long with about 130 (or 140 counting the speakers) participants. For perspective, this is perhaps the largest graduate level machine learning class I am aware of anywhere and anytime (previous MLSS s have been close). Overall, it seemed to go well, although the students are the real authority on this. For those who missed it, DVDs will be available from our Slovenian friends. Email Mrs Spela Sitar of the Jozsef Stefan Institute for details. The following are some notes for future planning and those interested. Good Decisions Acquiring the larger-than-necessary “Assembly Hall” at International House . Our attendance came in well above our expectations, so this was a critical early decision that made a huge difference. The invited speakers were key. They made a huge difference in the quality of the content. Delegating early and often was important. One key difficulty here
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1 The school was 2 weeks long with about 130 (or 140 counting the speakers) participants. [sent-2, score-0.146]
2 Overall, it seemed to go well, although the students are the real authority on this. [sent-4, score-0.206]
3 The following are some notes for future planning and those interested. [sent-7, score-0.092]
4 Our attendance came in well above our expectations, so this was a critical early decision that made a huge difference. [sent-9, score-0.358]
5 One key difficulty here is gauging how much a volunteer can (or should) do. [sent-13, score-0.149]
6 Many people are willing to help a little, so breaking things down into small chunks is important. [sent-14, score-0.237]
7 Unclear Decisions Timing (May 16-27, 2005): We wanted to take advantage of the special emphasis on learning quarter here. [sent-15, score-0.419]
8 We also wanted to run the summer school in the summer. [sent-16, score-0.456]
9 By starting as late as possible in the quarter, we were in the “summer” for universities on a semester schedule but not those on a quarter schedule. [sent-18, score-0.314]
10 Thus, we traded some students and scheduling conflicts at University of chicago for the advantages of the learning quarter. [sent-19, score-0.522]
11 The disadvantage was that it forced talks to start relatively early. [sent-29, score-0.159]
12 This meant that attendance at the start of the first lecture was relatively low (60-or-so), ramping up through the morning. [sent-30, score-0.258]
13 Although some students benefitted from the workshop talks, most appeared to gain much more from the summer school. [sent-31, score-0.422]
14 Doing various things rather than delegating means you feel like you are “doing your part”, but it also means that you are distracted and do not see other things which need to be done…. [sent-33, score-0.352]
15 One good suggestion is “have a poster session for any attendees”. [sent-38, score-0.183]
16 Having presentation slides and suggested reading well in advance helps. [sent-44, score-0.115]
17 The bad news here is that it is very difficult to get speakers to make materials available in advance. [sent-45, score-0.356]
18 They naturally want to tweak slides at the last minute and include the newest cool discoveries. [sent-46, score-0.183]
19 The Future There will almost certainly be future machine learning summer schools in the series and otherwise. [sent-48, score-0.472]
20 My impression is that the support due to being “in series” is not critical to success, but it is considerable. [sent-49, score-0.084]
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