andromeda yelton

andromeda yelton
	Though these be matrices, yet there is method in them.
When I first trained a neural net on 43,331 theses to make HAMLET, one of the things I most wanted to do is be able to visualize them. If word2vec places documents ‘near’ each other in some kind of inferred conceptual space, we should be able to see some kind of map of them, yes? … Continue reading Though these be matrices, yet there is method in them. →
	Of such stuff are (deep)dreams made: convolutional networks and neural style transfer
Skipped FridAI blogging last week because of Thanksgiving, but let’s get back on it! Top-of-mind today are the firing of AI queen Timnit Gebru (letter of support here) and a couple of grant applications that I’m actually eligible for (this is rare for me! I typically need things for which I can apply in my … Continue reading Of such stuff are (deep)dreams made: convolutional networks and neural style transfer →
	Let’s visualize some HAMLET data! Or, d3 and t-SNE for the lols.
In 2017, I trained a neural net on ~44K graduate theses using the Doc2Vec algorithm, in hopes that doing so would provide a backend that could support novel and delightful discovery mechanisms for unique library content. The result, HAMLET, worked better than I hoped; it not only pulls together related works from different departments (thus … Continue reading Let’s visualize some HAMLET data! Or, d3 and t-SNE for the lols. →
	AI in the Library, round one
The San José State University School of Information wanted to have a half-course on artificial intelligence in their portfolio, and asked me to develop and teach it. (Thanks!) So I got a blank canvas on which to paint eight weeks of…whatever you might want graduate students in library & information science students to know about … Continue reading AI in the Library, round one →
	adventures with parsing Django uploaded csv files in python3
Let’s say you’re having problems parsing a csv file, represented as an InMemoryUploadedFile, that you’ve just uploaded through a Django form. There are a bunch of answers on stackoverflow! They all totally work with Python 2! …and lead to hours of frustration if, say, hypothetically, like me, you’re using Python 3. If you are getting … Continue reading adventures with parsing Django uploaded csv files in python3 →
	my statement at the ALA Midwinter Town Hall
(American Libraries has helpfully provided an unedited transcript of the ALA Council town hall meeting this past Midwinter, which lets me turn my remarks there into a blog post here. You can also watch the video; I start around 24:45. I encourage you to read or watch the whole thing, though; it’s interesting throughout with … Continue reading my statement at the ALA Midwinter Town Hall →
	the highest level of service
I. We provide the highest level of service to all library users… ALA Code of Ethics That’s what public libraries do, right? Provide service to everyone, respectfully and professionally — and without conditioning that respect on checking your papers. If you walk through those doors, you’re welcome here. When you’re standing in the international arrivals … Continue reading the highest level of service →
	Leia: a montage about heroism
MONTAGE – EXT. HANGAR – REMOTE PLANET – DAY: Leia gestures to a document in her other hand. “There’s still 24 fighters that haven’t had their C checks, and we need them ready to scramble by 0500 Sunday. I can count on you to make that deadline, right?” The chief mechanic nods smartly. – INT. … Continue reading Leia: a montage about heroism →
	Locating my ALA in 2016
I’ve been reading discussion on ALA Council, Twitter, and blogs following recent ALA press releases and statements from the Committee on Legislation and the Washington Office, wondering where to locate my ALA, and where to locate myself within it as a member leader. The question I keep coming back to is: where are our lines? … Continue reading Locating my ALA in 2016 →
	An open letter to Heather Bresch
Dear Heather Bresch, You lived in Morgantown. I did, too: born and raised. My parents are retired from the university you attended. My elementary school took field trips to Mylan labs. They were shining, optimistic. You’re from West Virginia. I am, too. This means we both know something of the coal industry that has both … Continue reading An open letter to Heather Bresch →