Bigger on the Inside

I’ve been silent on this blog for a while.

I just awokened from a really visceral dream of a time in primary school.

I’ve been thinking a bit about reputation lately.

Two coincident things happened at work today.

Today was truly an intense day for me despite having minimal physical activities.

I had fun at GopherConSG!

The English language needs a new modal verb denoting an epistemic modality - specifically one that expresses a modality of probability.

Dear Editor, I am grateful to have been asked to provide some reflection on the eve of the 15th anniversary since the last publication by this journal, of a report written entirely by human minds.

TL;DR - I wrote annotation-mode, which is a emacs minor mode for annotating text documents for machine learning purposes.

Earlier in my afternoon nap, I think I made the most interesting connection.

This post was originally a series of tweets I wrote on a dream I had last night.

I had a very interesting chat with a few data science students yesterday.

Happy New Year!

Recently at work I optimized key-lookup for Ristretto, a caching library for Go, effectively doubling the lookup speed with one trick.

This post was [originally published in GopherAcademy](https://blog.gopheracademy.com/advent-2019/pkgapi/) for their Advent 2019 series.

The following are final copies of my dissertation for the completion of 31482.

A friend of mine is doing an MBA.

These days I am slow in my blogging.

I had a data visualization problem at work.

I have had the most vivid and unusual dream that I feel compelled to note it down for posterity.

I recently used the words “deceptively simple” to describe lambda calculus.

I was extending Gorgonia for a project of mine when I rapidly ran into a dot-import gotcha in Go.

As a guy who has his own deep learning library that aims to rival Tensorflow and PyTorch, the answer is: “chances are, no”.

I occasionally give free Go consults and code review on top of my daily work.

In this post I lay out the unjustifyable reasons why Gorgonia lacks tuple types.

I recently attended QFPL’s excellent Haskell course.

This may come as a surprise for many people, but I do a large portion of my data science work in Go.

Today’s blog post will be a little on the light side as I explore the various things that come up in my experience working as a data scientist.

In my previous blog post I had a brief mention about the Sapir-Whorf hypothesis, and how it blind-sided me to an obvious design.

I recently finished a major refactor of `tensor`, which is a package for generic multidimensional arrays in Go.

On Twitter a couple of days ago I posted this tweet which had this image:

I was working on some additional work on lingo, and preparing it to be moved to go-nlp.

Last night as I was preparing today's lunch, I ran into an interesting real life scenario that is a variant of the Monty Hall problem.

Hulu just released three episodes of The Handmaid’s Tale, an adaptation of Margaret Atwood’s book of the same name.

Note: This post was originally published at GopherData.

For about a month now, this blog has been a static site generated by Hugo.

You’re in a rush.

Summary: I believe that there are better representations of neural networks that aid in faster understanding of backpropagation and gradient descent.

Apparently today is the start of Advent of Code/Advent of Go.

Numbers are weird, man.

Hey Chewxy, what do you think will happen if one day everyone decides to move their money onto a blockchain and no longer need banks?

I released Gorgonia on Thursday.

I was teaching my partner some mandarin recently and I came to the conclusion that "yes" and "no" are very weird constructs of language.

TL;DR and Meta – I was playing around with some AVX instructions and I discovered that there were some problems.

Over the years I have come up with some fun ideas of binary classifying people.

This morning I woke up with Hungarian Dance No. 5 by Brahms stuck in my head.

I watched BvS today.

Do you sometimes feel like you’re not smart enough, not strong enough… not _ enough to do your pursuits?

computer scientists have a very unfortunate way of naming things.

Just happened.