1
The Unreasonable Effectiveness of Recurrent Neural Networks
Musings of a Computer Scientist.
2
3
Eigenvectors and eigenvalues explained visually
Eigenvalues/vectors are instrumental to understanding electrical circuits, mechanical systems, ecology and even Google's PageRank algorithm. Let's see if visualization can make these ideas more intuitive.
4
Automating Tinder with Eigenfaces
The website of Justin Long. Crockpotveggies is a collection of notes about Justin's own projects.
5
Classical music generation with recurrent neural networks
Writeup for my first major machine learning project.
6
7
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…
8
A Neural Network in 11 Lines of Python
A machine learning craftsmanship blog.
9
Top data mining algorithms in plain English
Today, I'm going to explain in plain English the top 10 most influential data mining algorithms as voted on by 3 separate panels in this survey paper. Once you know what they are, how they work, what they do and where you ... Read More
10
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.
11
12
What a Deep Neural Network thinks about selfies
Musings of a Computer Scientist.
13
NHL goal celebration hack: real-time machine learning and hue light show
This post does a deep dive on the **epic goal celebration hack**. In a single sentence, I trained a machine learning model to detect in real-time that a goal was just scored by the Habs based on the live audio feed of a game and to trigger a light show using Philips hues in my living room.
14
Rise of the Scientific Programmer
A blog on programming C#, REST, WCF, ASP.NET Web API and software architecture
15
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…
16
17
Using Waifu2x to Upscale Japanese Prints
In my spare time I’ve been working on a database of Japanese prints for a little over 3.5 years now. I’m fully aware that I’ve never actually written about this, personally very important, project on my blog — until now. Unfortunately this isn’t a post explaining that project. I do still hope to write more about the…
18
Data Science from Scratch: First Principles with Python
I am super-excited to announce that the book I've been working on for more than the last year, Data Science from Scratch: First Principles with Python is finally available! (buy from O'Reilly, use...
19
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…
20
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.
21
22
The state of Computer Vision and AI: we are really, really far (2012)
Musings of a Computer Scientist.
23
24
Deep Learning vs. Machine Learning vs. Pattern Recognition
For Data Scientists: Machine Learning vs Deep Learning discussion, Deep Learning vs Machine Learning, and what is difference between machine learning, pattern recognition, computer vision, robotics, and artificial intelligence.
25
26
Technology predictions
Some of these are probably apocryphal, but making predictions about the limits of technology is really hard: Space travel is utter bilge. - Dr. Richard van der Reit Wooley, space advisor to...
27
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…
28
Machine intelligence, part 1
This is going to be a two-part post—one on why machine intelligence is something we should be afraid of, and one on what we should do about it. If you’re already afraid of machine intelligence,...
29
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.
30
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…