learning Design patterns in real life In programming there are so called design patterns, which are basically commonly repeated pieces of code that occur often enough that people thought it would be helpful to give them
machine learning How to ML - Monitoring As much as machine learning developers like to think that once they've got a good enough model, the job is done, it's not quite so. The first couple of weeks
machine learning GPT-3 and AGI One of the most impressive/controversial papers from 2020 was GPT-3 from OpenAI. It's nothing particularly new, it's mostly a bigger version of GPT-2, which came out in 2019. It's
machine learning How to ML - Deploying So the ML engineer presented the model to the business stakeholders and they agreed that it performed well enough on the key metrics in testing that it's time to deploy
machine learning How to ML - Models So we finally got our data and we can get to machine learning. Without the data, there is no machine learning, there is at best human learning, where somebody tries
machine learning How to ML - Data So we've decided what metrics we want to track for our machine learning project. Because ML needs data, we need to get it. In some cases we get lucky and
machine learning How to ML - Metrics We saw that machine learning algorithms process large amounts of data to find patterns. But how exactly do they do that? The first step in a machine learning project is
machine learning What is ML? part 3 Yesterday we saw that machine learning is behind some successful products and it does have the potential to bring many more changes to our life. So what is it? Well,
machine learning What is ML? part 2 Yesterday I wrote how AI made big promises in the past but it failed to deliver, but that now it's different. What's changed? Well, now we have several products that
machine learning What is ML? Machine learning is everywhere these days. Mostly in newspapers, but it's seeping into many real life, actual use cases. But what is it actually? If you read only articles on
machine learning Machine Learning stories: Misunderstood suggestions A couple of years ago I was working on a calendar application, on the machine learning team, to make it smarter. We had many great ideas, one of them being
consulting My next steps In November I quit my job as the tech lead of the machine learning team at Archive360. Starting December 1st I am looking to provide my services as a machine learning consultant.
programming Playing Codenames in Rust with word vectors In a previous post I implemented the game of Codenames in Rust, allowing a human player to interact with the computer playing randomly. Now let's implement a smarter computer agent,
tech Giving code presentations I sometimes give talks at the local tech hub in the city where I live. It's not a big community, but I enjoy giving talks and they often provide a
programming Playing Codenames with Rust I love playing board games. I love machine learning. I love Rust. So why not combine them and do something really fun? So I ran a word vector analogy query
rust Web crawler in Rust I have heard many good things about Rust for several years now. A couple of months ago, I finally decided to start learning Rust. I skimmed through the Book and
gpu Monitoring GPU usage with StackDriver At work we use Google Cloud Platform to run our machine learning jobs on multiple machines. GCP has a monitoring platform called Stackdriver which can be used to
programming Regular Expressions for Objects For work I recently needed to do something that is very similar to regexes, but with a twist: it should operate on lists of objects, not only on strings. Luckily,
programming Real estate cohort analysis After in the last post we looked how to get the data, now we are going to start analyzing it. The first question we are interested in is how quickly
scraping Scraping for houses Having moved back to Romania, I decided I would need a place to live in, ideally to buy. So we started looking online for various places, we went to see
programming Indexing IM logs with Elasticsearch Remember my old project for processing instant messaging logs? Probably, because I wrote about it five years ago. Well, the project is only mostly dead, every once in a while
philosophy What I think of the AI hype During the last year there have been many articles about the upcoming singularity and what will happen after that. Elon Musk or Stephen Hawking have issued
machine learning Character segmentation overfitting I'm doing a project about doing OCR on receipts and today, while trying to do character segmentation, I made a pretty stupid mistake that led to my model overfitting almost perfectly pretty neatly (in some cases I got 100%
machine learning Neural Networks in Python Artificial Neural Networks are a mathematical model, inspired by the brain, that is often used in machine learning. It was initially proposed in the '40s and
