NLP Demystified
Learning and science
online course
SHOW HN2022
How HN took it
14 positive, 4 neutral or asking, 0 mixed, 2 critical, out of 20 comments about the project. Thread score +0.47.
Execution: 5 for, 0 againstDocs: 1 for, 2 againstIdea: 2 for, 0 againstPrivacy: 1 for, 0 againstDesign: 1 for, 0 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
Comprehensive and technical without getting lost in details.
From 1 comment
I love your course for being very comprehensive and technical while not getting lost in mundane details. Like the opposite of the following quote: “I didn't have time to write a…
reichardt on HN
Free with no signup required.
From 3 comments
10/10 for making this freely available
insane_dreamer on HNThis looks awesome. No signup, that's a dream :)
wazoox on HNI like that your site runs properly with only first party scripts enabled in ublock, very rare these days. Secondly kudos for not requiring a sign up and for making it free!…
account-5 on HN
Clean, well-made video and audio.
From 2 comments
That's impressive. The audio track of your videos is so clean and well understandable that I was wondering if you used a studio setup or voice synthesis software. Well done!
reichardt on HNThanks excellent course, watched about an hour or two. Very well made. Deserves more exposure.
yannis on HN
Objections
Wants written notes alongside the videos.
From 1 comment
I wish there where written notes to study. Anyways great video.
yupis on HN
Notes that the tf-idf log10 explanation is misleading.
From 1 comment
great work! just a note regarding tf-idf, when you mention log10: i think you're missing the point on the reason of log and most importantly base 10. namely, using log10 gives us…
escanor on HN
Requests
Add a license to the GitHub repo.
From 1 comment
Great content! And thank you for making it open and free. I recommend adding a License to your Github repo.
santiagobasulto on HN
Questions
Who is the intended audience: app developers or ML developers?
From 1 comment
Who is the intended audience for this course? Is it application developers looking to use NLP in their apps? Or machine/deep learning devs?
posharma on HN
How to build one model that does multiple NLP tasks like NER and sentiment.
From 1 comment
Thank you for sharing this! I am currently studying NLP.. Along the way, I've been struggling with a question and I hope someone can help me understand how to go about this: how…
brooksbp on HN