Python Machine Learning
Learning and science
machine learning tutorial
SHOW HN2019
How HN took it
2 positive, 0 neutral or asking, 1 mixed, 3 critical, out of 6 comments about the project. Thread score -0.06.
Docs: 2 for, 1 againstIdea: 0 for, 2 against
The thread, comment by comment
Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.
positive neutral or mixed critical about another commenter or something else the maker
What HN said
What people liked
Nice, code-focused tutorial series
From 3 comments
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.
faizshah on HNReally 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,…
dhfromkorea on HNNice tutorials and reference resources. One note, which may be confusing for beginning learners: why to choose one fitting method (e.g. least squares) over another (e.g. gradient…
zoomablemind on HN
Objections
Tutorials only use libraries rather than implementing algorithms from primitives
From 1 comment
The tutorials introduce how the different algorithms work, but the code just uses the libraries rather than implementing what's in the library from primitive operations. For me,…
rahimnathwani on HN
Too many similar ML crash courses posted to HN
From 2 comments
I swear an AI crash course gets posted to HN every other day..
WilliamEdward on HNI have to agree actually. If one is actually serious in wanting to learn this stuff he really should just do a Google search, there doesnt really need to be anymore of these
ackbar03 on HN
Requests
Resources for more theoretical material and advanced topics
From 2 comments
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,…
dhfromkorea on HNI wonder if there is some course that would cover a bit more advanced topics in a comprehensible manner. There are hundreds of courses/books/tutorials that cover pretty much the…
krick on HN
Explanation of why one method is chosen over another
From 1 comment
Nice tutorials and reference resources. One note, which may be confusing for beginning learners: why to choose one fitting method (e.g. least squares) over another (e.g. gradient…
zoomablemind on HN
Questions
How to choose the right algorithm for a task
From 2 comments
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…
deskamess on HNOne possible strategy is: 1. Find out what kind of information that is wanted from the model and what kind of data you have available that could help with this. 1b) And note down…
jononor on HN
Alternatives named
Joel Grus's data science book with implementations from scratch
From 1 comment
The tutorials introduce how the different algorithms work, but the code just uses the libraries rather than implementing what's in the library from primitive operations. For me,…
rahimnathwani on HN
scikit-learn machine learning map
From 1 comment
This one has been recommended to me a lot: https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html But I agree I wish there was more resources on that, it seems…
faizshah on HN