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New
The latest blog posts to take off on Hacker News. 65 posts.
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Things I wish I knew earlier about Machine Learning
I’ve been working with Machine Learning models both in academic and industrial settings for a few years now. I’ve recently been watching the excellent Scalable ML from Mikio Braun, this…
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When Greedy Algorithms Are Good Enough (2014)
Greedy algorithms are among the simplest and most intuitive algorithms known to humans. Their name essentially gives their description: do the thing that looks best right now, and repeat until nothing looks good anymore or you’re forced to stop. Some of the best situations in computer science are also when greedy…
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Should AI Be Open?
I. H.G. Wells’ 1914 sci-fi book The World Set Free did a pretty good job predicting nuclear weapons:They did not see it until the atomic bombs burst in their fumbling hands…before the l…
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Anyone Can Learn to Code an LSTM-RNN (Part 1: RNN)
A machine learning craftsmanship blog.
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What a Deep Neural Network thinks about selfies
Musings of a Computer Scientist.
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A conversation with Sussman on AI and asynchronous programming
A couple weeks ago I made it to the FSF's 30th anniversary party. It was a blast in many ways, and a good generator of many fond memories, but I won't go into depth of them here. One particularly exciting thing that happened for me though was I got to meet Gerald Sussman (of SICP !) The conversation has greatly…
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Auto-Generating Clickbait with Recurrent Neural Networks
Hey! If you are a web developer, you should know about CatchJS. It’s a service for tracking and logging errors in JavaScript, with some pretty exciting features. “F.D.R.’s War Pla…
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IA or AI?
I’ve been reading a paper [1] written two decades ago, which itself is an account of events two decades before that. It is Alan Kay nominally writing about the history of a programming langua…
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Machine Learning for Developers
Most developers these days have heard of machine learning, but when trying to find an 'easy' way into this technique, most people find themselves getting scared off by the abstractness of the concept of Machine Learning and terms as regression , unsupervised learning , Probability Density Function and many other…
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The Unreasonable Effectiveness of Random Forests
It’s very common for machine learning practitioners to have favorite algorithms. It’s a bit irrational, since no algorithm strictly…
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Introduction to Monte Carlo Tree Search
The subject of game AI generally begins with so-called perfect information games. These are turn-based games where the players have no information hidden from each other and there is no element of chance in the game mechanics (such as by rolling dice or drawing cards from a shuffled deck). Tic Tac Toe, Connect 4…
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Neural Networks, Types, and Functional Programming
Deep learning, despite its remarkable successes, is a young field. While models called artificial neural networks have been studied for decades, much of that work seems only tenuously connected to modern results.
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Classical music generation with recurrent neural networks
Writeup for my first major machine learning project.
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Training a Neural Net to Generate CSS
A log of experiments done on the site design, intended to render pages more readable, focusing on the challenge of testing a static site, page width, fonts, plugins, and effects of advertising.
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Face swapping with Python, dlib, and OpenCV
In this post I’ll describe how I wrote a short (200 line) Python script to automatically replace facial features on an image of a face, with the facial features from a second image of a face.
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A Neural Network in 11 Lines of Python
A machine learning craftsmanship blog.