Labeling datasets is costly process. When you dont opt out, you're letting them build a labelled dataset on you-specifically for free.
jeffhykin
joined 2 years ago
Same for me: just say no, and they say OK. Effortless but the option is totally invisible.
The irony is, I've seen the staff stop using the face scanner for everyone halfway through the line to speed things up. So its not saving time, just costing money to increase surveillance.
Ignore the name (neural networks might as well be a footnote). A more appropriate title would be "generic problems and algorithms".
(Artificial Intelligence: A modern approach by Russell and Norvig)
I agree, and here's a few different avenues of examples:
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If trying to get past interviews, Leet code and hacker rank can be great. They're not so great for real world problems, but not bad.
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Advent of code is a good middle ground between theory and practice in my opinion.
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To really learn real world problem solving, I'd recommend implement a specification, without looking at existing implementations. For example, make a basic regex engine (formal Regular Expressions not PCRE expressions), or try to implement the C Preprocessor, or the JS event loop.
"Algorithms to live by" https://www.amazon.com/Algorithms-Live-Computer-Science-Decisions/dp/1627790365
Less technical than you probably want, but it is useful for mapping real world problems to known algorithms.
Yeah, cookies, account logins, and other stuff make it hard too. Ex: randomly exploring gmail emails at different times of day, but not actually marking emails as read.
Psychology. Ever see ring doorbell footage where the owner says "drop the package" and people do? Its not like the owner could do anything, but for some reason it makes people behave differently.
Here's a very similar question I asked here a few months ago: "Privacy respecting ring doorbell" https://lemm.ee/post/8165932
The clients are source available for telegram though
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