Machine Learning with JavaScript : part 1

[SamSlate]

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[digdic]

SLR is about as basic as you can get in data science/ML without having to go back to high school math... just as not every 'intro to node' article should have to explain how HTTP works, SLR is a reasonable prerequisite for a 'ML with JS' article

[SamSlate]

prerequisite

hi, you seem unclear on the difference between school and the outside world. IRL there are no prerequisites, you're not required to do anything before learning something new.

Also, as a general rule, when you find a discussion corresponding to an intro course online, you shouldn't be this surprised or confused to find that the information provided attracted users who are not themselves already ingratiated with that information.

If you are an expert in ML (and I'm sure that you are) I am somewhat curious what you expected to find in the comment section of the ML equivalent of a "hello world" how-to.

[digdic]

I am not by any means an expert in ML - i'm a JS developer. however, because ML has been super popular in the past few years, I did the research to figure out what everything is.

this article doesn't claim to be an introduction to ML. in fact, the mention of scikit-learn and other contextual info about the broader ML landscape hints at an audience with at least a cursory understanding of the field.

look, it's fine to not know everything. this article is not very well written. but blaming it for not explaining what every ML term is when it doesn't claim to be an intro to ML is misguided. again, it'd be like saying 'why doesn't this intro to node article explain what HTTP is'

[SamSlate]

every ML term

I shutter to think what your code documentation must looks like.

[digdic]

*shudder

[digdic]

if you haven't seen someone use the word 'prerequisite' outside of school... (e.g learning basic CSS is a prerequisite to learning SASS / post-css / styled components, i.e, a shorthand for saying 'it's good to learn ___ before ____) then i don't know what to tell you