Coming Out as Bisexual

Mon Jun 01 2020

I don’t know exactly who I’m writing this post for: maybe it’s for me, maybe it’s for that guy I’m trying to impress, maybe, it’s for the LGBTQ+ community this pride month. I’m not a elegant storyteller, but I wanted to share my coming out experience.

I’ve seen other blog posts and videos on the subject, but they never fully encapsulate what I went through. Maybe that is the point, not everyone is the same. Labels are convenient but, they are not perfect. Sexuality isn’t a spectrum where totally gay and totally straight are on different sides. Sexuality: it’s fluid, it’s complicated, it’s love… it’s exciting.

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College Cookbook Part 3

Sat May 30 2020

Woah, I’m making part three!! They say good things come in threes– unless it’s a Disney franchise. This continues my last post and goes over some easy-to-prepared and palatable foods that I have cooked.

1 Pork Chops

When done right, pork chops are probably the best meat you can cook – I enjoy pork chops more than steak. I start by seasoning the chops in a rub consisting of salt, pepper, garlic, onion powder, paprika, cayenne powder.

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Flirting with Burnout at RIT

Fri May 22 2020

“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.

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Word Embeddings

Sat May 16 2020

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.

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Image Clustering with K-means

Tue May 12 2020

1 K-Means Algorithm

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.

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