Business Data Mining & Decision Models
We're coming to the more complex data mining modes - we just began with text mining this week. The prof takes examples of how words by themselves are not as important as n-grams. These n-grams are certain combination of words that actually have a sensible meaning. For e.g. 'great' is a good word, but 'not great' implies sometihng else entirely, while 'not great aesthetics' implies yet another meaning. Hence, he goes on about a case where they had to identify trends based on feedback left behind on something. I'd have been more specific, but I'd fallen asleep thinking of n-grams.
The second session was our first practical session on Clementine... which does some pretty cool stuff with data. It's like excel, only that you can do some cool graph-y things with it. Combine data sets, filter stuff out, sort it, sample it... and finally display or extract stuff. And we got to work on a cool data set too! One of login data of students and profs.. probably to check attendance and other such stuff. Good fun...
Strategic Thinking and Decision Making
We continue down the emotion route... further refining our understanding of Game Theory. Apparently, humans are lazy, that's a shocker! They tend to make decisions based on incomplete information and rely a helluva lot on their intuition. Again, such a shocker. The funda appears to be bounded rationality. We tend to look for answers, and will continue looking till we get what we deem to be a satisfying answers, and not the optimal one. We also seem to have some sort of an opinion bias? We are more likely to think our harebrained ideas are the awesomest, while some brilliant ideas from others are downright crappy. Apparently, our intuitive part of the brain is different from the reasoning part of the brain. What makes it worse, is that we can't realize when our intuition is suggesting something downright wrong.
We're also quite risk averse! If we're getting a chance to look at good things happening, and are confronted with two options, we're more likely to take the less risky one. And if we're getting a chance to look at bad things happening, and are offered two options, we think 'what the hell' and are willing to take much riskier options. So, interestingly, the way a problem is phrased to you ends up with you taking different decisions. Good tip to have, no? It's one of the reasons we stay invested in a market that's obviously going down (because we *think* it will come back up again anyway), or why we don't invest in markets when they're going up (what if it goes down?). Interesting to know how nutty we can get!
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