Difference between revisions of "Tackling Big Data MIT Course"

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* Account: dthiebaut@smith.edu
 
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=Notes=
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<onlydft>
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==Rus: Transportation==
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* Rus.  Transportation in Singapore.  Singapore small country. 16,000 taxis.  High number of loops embedded in streets.  Can sample of taxis with GPS be used to approximate well the real traffic given (every 15 minutes) by loops (expensive to maintain).
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* taxis can yield data every 30 sec to 1 min.
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* Loops every 15 min.
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* problem = can taxis be used?
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* answer: not a good representative
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* use linear regression to find coefficients during time windows. Windows cannot be too small.
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* taxi data can be represented by Markov chains so a sample is representative of the whole population (I didn't get that)
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* After applying model, can see that a sample of taxis (maybe 1000) can be good at estimating real traffic.
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----
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;Problems
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: goes very quickly over concepts.  Like markov chains
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: holly jump from one problem to a solution.  No explaining.
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: The slides given as support are way too small.  Hard to see unless manipulate and make bigger
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: when using full screen for the video, transcript overlaps with right quarter of video.
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Revision as of 20:01, 5 March 2014

--D. Thiebaut (talk) 20:12, 3 March 2014 (EST)


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