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Show HN: Python Machine Learning – A Crash Course

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Re: Show HN: Python Machine Learning – A Crash Course

#3

I swear an AI crash course gets posted to HN every other day..

It certainly does seem that way, especially with python. I wouldn’t be opposed to a fun tutorial in a different language. Also not trying to be pedantic (is anyway) but ... should always have three .’s. (I learned that recently)

Re: Show HN: Python Machine Learning – A Crash Course

#4

I swear an AI crash course gets posted to HN every other day..

It certainly does seem that way, especially with python. I wouldn’t be opposed to a fun tutorial in a different language. Also not trying to be pedantic (is anyway) but ... should always have three .’s. (I learned that recently)

Also not trying to be pedantic, but… it should be just one character (ellipsis).

Re: Show HN: Python Machine Learning – A Crash Course

#6

I swear an AI crash course gets posted to HN every other day..

It certainly does seem that way, especially with python. I wouldn’t be opposed to a fun tutorial in a different language. Also not trying to be pedantic (is anyway) but ... should always have three .’s. (I learned that recently)

Not trying to be pedantic, but the "Also" in your third sentence should be followed by a comma.

Wait, that was annoying and didn't contribute to the discussion. Huh, really makes you think.

Re: Show HN: Python Machine Learning – A Crash Course

#7
Really nice! One suggestion would be to have a list of resources for slightly more theoretical materials, so curious students can be exposed to deeper parts of ML (of course, such materials need links to applied tutorials like this). Perhaps can be done through the pull requests of the community.

Re: Show HN: Python Machine Learning – A Crash Course

#8

I swear an AI crash course gets posted to HN every other day..

It certainly does seem that way, especially with python. I wouldn’t be opposed to a fun tutorial in a different language. Also not trying to be pedantic (is anyway) but ... should always have three .’s. (I learned that recently)

[deleted]

Re: Show HN: Python Machine Learning – A Crash Course

#9
post #5

Really nice series of tutorials that are code-focused! I think one of the things that surprised me most about ML is how simple a lot of the code is.

The code itself is indeed simple, thanks to the combined efforts of very smart and capable researchers and developers across the world. But the time taken to write the actual code to perform ML is negligible compared to:

- choosing the right algorithm(s) for the specific task and data at hand

- tuning hyperparameters

- interpreting preliminary results and/or the output of statistical tests

- chasing down and cleaning data(!!)

- deploying the resulting ML pipeline into something more maintainable than a GitHub repo of inconsistently named Jupyter Notebooks strewn with hardcoded paths to CSV files and dangerously obsolete documentation written by employees who have since left your company.

Re: Show HN: Python Machine Learning – A Crash Course

#10
post #5

Really nice series of tutorials that are code-focused! I think one of the things that surprised me most about ML is how simple a lot of the code is.

The code itself is indeed simple, thanks to the combined efforts of very smart and capable researchers and developers across the world. But the time taken to write the actual code to perform ML is negligible compared to: - choosing the right algorithm(s) for the specific task and data at hand - tuning hyperparameters - interpreting preliminary results and/or the output of statistical tests - chasing down and cleaning…

Do you have any references that could help with 'choosing the right algorithm'? That seems to be something that comes with experience, or knowing how a particular algorithm works, or more importantly, does not work.
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