solve tricky large-scale mathematical problems using computers

With Python many problems have either already been solved or there are several, typically free resources that make solutions easier. I also use Matlab which, far from free, is also supported widely.

Didn't think I needed to bother with links. Here's one :

it's clear that the major players in the K-12 market today are Apple, an ascendant Google, and Microsoft, which has only shown hints of its strategy for the market segment.

Here's another :

Apple is still the main and dominant player in the [education] market

The software side was Pearson. LAUSD is now allowing Chromebook purchases.

Was Deasy's ego justification. He actually started well when he pushed teacher accountability, then it went downhill fast. The iPad decision was bad enough; forget the botched roll out and the you-never-get-fired for buying $INDUSTRY_LEADER procurement. Then there was teachers serving breakfast to kids in class and finally the MiSiS debacle that finally forced him out. One of the few times one could agree w/the teacher's union.

Aside from being able to reach a very old age do these species have anything else in common? For example, are their population pyramids correlated?

The problem is..the news agencies have been so complacent in all this all along too.

Unfortunately complacency is thought to be the price paid for access. I'd think you'd want a full spectrum of coverage. Even in compliant interviews and pieces you can often glean interesting information reading between the lines.

99.9% of the work is determining what is your income

From where else: "A true flat rate tax is a system of taxation where one tax rate is applied to all income with no deductions." Calculating deductions is generally assumed to be most of the work behind determining income.

If you wanted to be near the top of your profession, you still needed to study in Germany

Or at least know German. When I was in HS in the mid 70's you were expected to take three years of German if you wanted to major in a science. I was lazy and went with Spanish. Sure enough when it was time for my senior project in college an important relatively current journal article was in German. I asked a professor to translate it for me. When my results didn't come out as expected I had a go at the relevant section of article myself. Parsing the math and scientific terms I was able figure out what the issue was. For a short while afterwards there was a shift towards Russian if you wanted a relevant language. Didn't last that long.

Nobody should be surprised at government incompetence, in this case leading to regulatory capture. The proof came out long ago in the pudding of the financial crisis. The interview is not that interesting. Ms. Segarra's experience should be familiar to anyone who's had differences with management.

My only take from the interview was what wasn't said (at least for the first 40 minutes), viz. that the Fed's played along hoping to get easier access to information. Yes, the banks had to give them what they asked for, but it should be obvious that it's not always clear what that should be. The Feds don't have the staff to effectively mount a strong adversarial campaign. You piss off these chefs and they'll most certainly spit in your food.

That being said the Feds clearly failed by becoming too complacent. Unfortunately you're never going to find out till after the fact. You can keep changing and adding rules but the banks will adapt. It could just as easily happen again.

I think the CEOs would prefer a liberal arts major who has demonstrated they can self teach the IT bit. It's really the ability to self teach rather than which field your degree is in. When hiring someone w/a CS degree you can't be sure they're able to go beyond what's spoon fed to them in class. When hiring someone w/a liberal arts degree w/self taught skills, they've demonstrated they're able to learn new things on their own, even outside their field of study.

That being said it's possible the industry's matured enough that there's less self teaching involved as fads replace durable technology improvements.

The Bolton-Christie argument, to me, boils down to: you can have too much of a good thing, e.g. documentation. This can impose unnecessary costs and defeat the purpose if, following the above example, onerous documentation doesn't get read. Too much of a standard means unnecessary cost goes out to the standards industry (rent seeking).

This is a good point but I think it's not just diet. There's genetics to some extent, lifestyle and the type of work being done. I would hypothesize that an individual, starting at the same 'alert level', would tire at different rates depending on the task. When a person's energy level starts to flag, for whatever reason, little tricks like this may help them to be more productive.

I don't think the data is private primarily to prevent fraud. My first guess was medical tourism. Overseas drug prescriptions, &c. &c.

I would agree w/some of the other posts that the algorithm seems a bit primitive. Perhaps on refinement it may point out correlations that may either be influence or perhaps represent certain stylistic archetypes hitherto unknown. I think asking and knowing make a "difference" but the question is somewhat subjective.

Is that Ms. Dickson didn't correct her attempt(s) at humor after she sobered up. That no one else ever bothered could be taken as an indication of the significance of the subject. While the books may be popular, the author's life clearly isn't (yet).

The contexts in which her entry was cited ("Jews and Jesus" - really?) probably also indicate a lack of significance.