Online courses vs. colleges for software engineering

Re:Online courses vs. colleges for software engineering by ukj on Sunday September 29, 2019 @05:03AM (#21105975)

I did drop out. Learning is important. College is not the only way to learn. I acquire the knowledge necessary to accomplish my goals.

I wouldn't hire; work with; or work for somebody who doesn't know how to manage the risk of Type I/II errors in their heuristic.

That signals to me "lazy thinker".

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Re:Online courses vs. colleges for software engineering by dgellow on Sunday September 29, 2019 @06:08AM (#21106190)

For folks who don't know what Type 1 and 2 errors mean:

> In statistical hypothesis testing a type I error is the rejection of a true null hypothesis (also known as a "false positive" finding or conclusion), while a type II error is the non-rejection of a false null hypothesis (also known as a "false negative" finding or conclusion). Much of statistical theory revolves around the minimization of one or both of these errors, though the complete elimination of either is treated as a statistical impossibility.

https://en.wikipedia.org/wiki/Type_I_and_type_II_errors

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Re:Online courses vs. colleges for software engineering by shard on Sunday September 29, 2019 @05:32PM (#21109738)

Could you elaborate? How can type I and type II error risks be managed?

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Re:Online courses vs. colleges for software engineering by ukj on Monday September 30, 2019 @07:03AM (#21113774)

The theory is ROC curves [1]. The practice requires that you play devil's advocate with yourself - figuring out ways to disconfirm your own beliefs.

I usually start with the question: 'What data would convince me that I am wrong?' If I can't answer that for myself - I know I have a problem.

[1] https://en.wikipedia.org/wiki/Receiver_operating_characteris...

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