4 ms·
Am I alone in really disliking Towards Data Science? While their articles always look nice, their content is all written quickly by data scientists wanting to
by it_does_follow 5y ago
Am I alone in really disliking Towards Data Science?
While their articles always look nice, their content is all written quickly by data scientists wanting to polish their resume with the ultimate aim of rapidly generating content for TDS that will match every conceivable data science related search. This post clearly exists solely so that TDS can get the top spot for "Word2vec explained" (which they have). As evidence of this tactic you can see that there already is a TDS post "Word2vec made easy" [0], offering nothing substantially different than this one.
The problem is that content is almost never useful, it just looks nice at first skim through. The authors, at no real fault of their own, are just eager novices that rarely have new perspective to add to a topic. It's not uncommon to find huge conceptual errors (or at least gaps) in the content there.
I personally encourage everyone at every level to write about what they can, but the issue is that TDS has manipulated this population of eager data scientists in order to dominant search results on nearly every single topic they can cover related to DS, which has made searching for anything tedious.
Compare this post to the fantastic work of Jay Alammar [1]. Jay's post is truly excellent, covering a lot of interesting details about word2vec and providing excellent visuals as well.
I'm assuming TDS will fold as soon as DS stops being a "hot" topic (which I think we'll be in the relatively near future), and will personally be glad to see the web rid of their low signal blog spam.
0. https://towardsdatascience.com/word2vec-made-easy-139a31a4b8ae https://towardsdatascience.com/word2vec-made-easy-139a31a4b8...
1. https://jalammar.github.io/illustrated-word2vec/ https://jalammar.github.io/illustrated-word2vec/
- heyhihello 5y agoAgree on poor TDS quality. You should check out Amazon’s MLU’s interactives - they’re like mini nyt articles on different algorithms: https://mlu-explain.github.io/ https://mlu-explain.github.io/
- bllguo 5y agoAs another recommendation, Distill is higher level, and has less topic coverage, but their article quality is fantastic: https://distill.pub/ https://distill.pub/
- minimaxir 5y agoTDS is a banned domain on HN: https://news.ycombinator.com/from?site=towardsdatascience.com https://news.ycombinator.com/from?site=towardsdatascience.co... It's unusual that this article got vouched.
- ColinWright 5y agoI thought this particular article gave a balanced, high-level overview, along with enough detail and references to provide a good starting point. Yes, perhaps it's a bit light-weight, but as an introduction I thought it did a good job.
- minimaxir 5y agoUnusual in the sense that getting vouched as an outlier, not necessarily as an indication of the article quality.
- yesenadam 5y agoWhat makes you say it's banned? From that link it doesn't seem to be.
- minimaxir 5y agoTurn on showdead. (but even if you don't, the fact that the last submission before this one was 3 months ago is a hint)