"Your absolutely crazy," my boyfriend exclaimed as he gazed at my schedule. Eighteen credit hours, two part-time jobs, and three clubs-- my spring semester was shaping up to be one hell of a ride. That semester I flew too high, burned my wings, and was then was saved by Covid-19.
Indulge me as I recount what happened during this crazy semester and reconcile what I've learned while pushing my limits at RIT.
Word embeddings have stolen all my attention the last week. At a very high level, embeddings allow you to reduce the dimensionality something into a smaller vector that conveys positional meaning in that latent space. When considering something like a word, this is very useful because it enables you to use the vectorized version of the word in a secondary model. Since words that have similar meanings group together, it makes training faster. Computerphile has a fantastic video of this on Youtube.
The general idea of clustering is to group data with similar traits. The main benefit of this is the ability to extract information from new data because you know what it is most similar to, thus giving you valuable insight. In the field of machine learning, clustering is considered unsupervised learning because it requires no labels on the data -- the algorithm auto assigns clusters, and you infer behavior off of those clusters.
Clustering has many applications such as image segmentation, preference predictions, compression, model fitting.
Sit down and grab a drink because it is time that we talk about the LSD trip that is the 1981 movie Shock Treatment. Shock treatment can be called a sequel to Rocky Horror; however, the storylines are very different, and the only common thread is our main actors Brad and Janet. Where Rocky Horror was a play about lust and sexuality, shock treatment was a musical about questioning your sanity... or something along those lines.
The problem with Shock Treatment -and part of why I loved it so much -was that it was a satire on absolutely anything and everything. The message of the show was unfocused; it shot a ton of stuff at the wall and let the viewer fill in meaning. Many themes could be elaborated on within this show, including mental health, control, gender norms, consumerism, censorship, human nature, and manipulation. Most subjects were one-off and did not serve further the plot that much, but other topics struck home. The show is still well worth the watch because it's entertaining, and it's eerie to see how well a movie from the early '80s reflects society today. Moreover, newer shows like Westworld and Black Mirror are still portraying the same messages about control and consumerism but, using different narrative structures than the ones used in Shock Treatment.
Last week I started hosting my own git-forge to track sync all of my git projects. Between school, open-source communities, and personal projects, I have accumulated a dubious amount of git projects. Although most of my content gets hosted on Github, I also had a fair quantity of local projects, stuff on scattered GitLab instances, and other places. I decided to use Gitea to mirror all of my repositories and keep them in a central location that I can quickly search for them.
For simplicity, I decided to host my Gitea instance on a DigitalOcean droplet using docker and add SSL encryption using a reverse Nginx proxy using a let's encrypt.