What are some of my buy-it-for-life purchases?

Continue reading

I argue that virtual goods such as in-game skins make more sense in a centralized walled-garden approach, and NFTs tracked and traded on blockchains are legally problematic.

Continue reading

I argue that a cryptocurrency like Bitcoin has a weird property: the more you buy of it, the less valuable it becomes.

Continue reading

I argue that anonymity, irreversibility and decentralization, while interesting technical features that implemented in a fascinating way using cryptographic primites, are not practical for real-world use.

Continue reading

Are cryptocurrencies really better than fiat currencies? I argue that the answer is negative.

Continue reading

The crypto space is a fascinating intersection of technology, economics and human psychology. However, I remain skeptical of the value of crypto tokens and NFTs. Here I explain my thought process using FTX Tokens as an example.

Continue reading

I use Doc2Vec to try to find pairs of similar API functions between Pytorch and Tensorflow.

Continue reading

I run experiments to determine whether, or to what degree, GPT-3 has developed an comprehension of spatial relationships.

Continue reading

I reflect on the core points of Fred Brooks' seminal book, The Mythical Man-Month, that I often recall and apply in my daily work.

Continue reading

Here I will show a "conversation" with GPT-3 to gauge how good an astrophysicist — or an illusion of an astrophysicist — it is. I will focus on cosmology questions, because that's most interesting part of the field.

Continue reading

In the previous posts, I used the Doc2Vec neural network architecture to compute the similarities between my blog posts, and explored the quality of the scores. In this final post, I show how I added the final Articles You May Like recommendation sections to the blog — it's live!

Continue reading

In the previous post, I used the Doc2Vec neural network architecture to compute the similarities between my blog posts. In this second post I investigate the results further by examining clusters in graphs.

Continue reading

One of the things I learned at Facebook is the power of recommendations. Examples are People You May Know (PYMK), Groups You May Like (GYML) and Pages You May Like (PYML). Inspired by these, I am planning to add an Articles You May Like widget to Bytepawn, based on the semantic similarity of blog posts. I use the Doc2Vec neural network architecture to compute the similarity between my blog posts, and return the top 3 recommendations for each page.

Continue reading

One of the most common Data Science tasks in a business setting is timeseries forecasting. I was curious what methods and libraries other Data Scientists use, so I posted an "Ask HN" on Hacker News. The post generated 89 comments, most of them high-quality. This is my summary of the discussion.

Continue reading

I use simple Monte Carlo simulations to estimate some mathematical constants: √2, ϕ, e and π.

Continue reading

I will attempt to enumerate all the categories of questions commonly asked in technical interview loops, and my experience with them.

Continue reading

Here I will show a "conversation" with GPT-3 to gauge how good a particle physicist — or an illusion of a particle physicist — it is.

Continue reading

I wrote a Culture Doc for the Data Science team I lead.

Continue reading

I have further "conversations" with GPT-3, this time asking more difficult questions about real-world Data Science projects I have personally worked on.

Continue reading

Recently I have been playing around with OpenAI's GPT-3 and I am very impressed by it. It reminds of the famous Arthur C. Clarke quote, “Any sufficiently advanced technology is indistinguishable from magic.” Here I will show a "conversation" with GPT-3 to gauge how good a Data Scientist — or an illusion of a Data Scientist — it is.

Continue reading