Recent submissions

Comment · 5 years ago
FunTrivia - https://www.funtrivia.com/ I spent a lot of time on it in the 2000s and later found that it was started in 1995 - https://en.wikipedia.org/wiki/FunTrivia
Comment · 6 years ago
I spent 3 days setting up Hasura a few weeks ago and I wish I'd known about Nhost.

Do you know why Hasura don't provide a managed service themselves?

Also, I wonder if Hasura will eventually move to a MongoDB-like license.

Comment · 7 years ago
Comment · 9 years ago
Comment · 9 years ago
Comment · 9 years ago
Google Photos uses ML to tag photos and this feature released amidst much fanfare at Google I/O a couple of years ago. They don't need location data to geotag photos anymore.
Comment · 9 years ago
Comment · 9 years ago
Comment · 9 years ago
If we want to store the object's URL in a relational database, should the browser send another HTTP request to our service? Wouldn't we lose the object if there's a network error during the interval between the two requests?
Comment · 9 years ago
I wonder what technology they use under the hood. Ceph? GlusterFS? Custom software?
Comment · 9 years ago
Basecamp published an article explaining their migration to Medium https://m.signalvnoise.com/medium-has-been-great-for-us-35d9...

> People often ask me why we switched to Medium. There were a variety of reasons, but one was reaching a new audience, and another was aiming for wider distribution. But maybe the top one was curiosity — let’s see if we can learn something new.

Comment · 9 years ago
Comment · 10 years ago
Sure! The course has a slow start. The first few lectures focus on the mechanics of matrix operations instead of starting with linear transformations, and compositions of linear transformation - the core ideas behind Linear Algebra. But after lecture 10, the course picks up pace.
Comment · 10 years ago
> And at the start of the course, he teaches the very small subset of linear algebra required to understand his course materials.

I tried doing the ML course without any prior knowledge of Linear Algebra and dropped out after the first three weeks. In hindsight, I realized it wouldn't have been possible to appreciate how PCA works without understanding eigenvectors, how collaborative filtering is an elegant application of matrix factorization and so on.

But after I completed Strang's Linear Algebra course, the entire ML class was a breeze.

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