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Mona Lisa in 50 polygons, using a genetic algorithm (2008)
This weekend I decided to play around a bit with genetic programming and put evolution to the test, the test of fine art 🙂
Introducing the Predictive Interface
Stephen Wolfram gives a look into the new Predictive Interface technology in Mathematica 9. Users are provided a list of buttons for possible actions to take next based on what they have already done.
My Education in Machine Learning via Cousera, A Review So Far
As of today I’ve completed my fifth course at Coursera, all but one being directly related to Machine Learning. The fact that you can now take classes given by many of most well known researchers i…
Google’s most advanced voice search has arrived on iOS
The new Google Search app for iPhone and iPad helps you with enhanced voice search that answers any question.
Using python and k-means to find dominant colors in images
I'm working on a little photography website for my Dad and thought it would be neat to extract color information from photographs. I tried a couple of different approaches before finding one that works pretty well. This approach uses k-means clustering to cluster the pixels in groups based on their color. The center…
Restoration of defocused and blurred images
Restoration of distorted images is one of the most interesting and important problems of image processing - from the theoretical, as well as from the practical point of view. There are especial cases: blurring due to incorrect focus and blurring due to movement - and these very defects, which each of you knows very…
Automating xkcd Diagrams: Transforming Serious to Funny
Read Wolfram's latest announcements, events, news and developer insights. In-depth highlights of Wolfram technologies used across industry, research, education.
Hey Yahoo, You’re Optimizing the Wrong Thing
Hey Yahoo, You’re Optimizing the Wrong Thing Posted: September 18, 2012 | Author: Hilary Mason | Filed under: blog | Tags: data, design, product, yahoo | 26 Comments » I was visiting my grandparent…
Introduction to genetic algorithms (example in Javascript)
In this post, we'll learn the basics of one of the most interesting machine learning algorithms, the genetic algorithm. This article is part of a series.
Stack Exchange Machine Learning Contest
Over the last 4 years we've built up quite a bevy of moderation tools here at Stack Exchange. We've got closing, editing, deleting, flags of all sorts, voting, commenting, review queues, and more.
An Intuitive Explanation of Bayes' Theorem
Bayes’ Theorem for the curious and bewildered; an excruciatingly gentle introduction.
Introducing ccv, a modern computer vision library
It has been two years since the first commit. Two years ago, I promised 1). an object detection algorithm; 2). a text detection algorithm; 3). a feature point algorithm; and 4). a 3d reconstruction algorithm. With the 0.1, there is: 1
Microsoft Research make breakthrough in audio speech recognition
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Can a person be identified by just the way they type?
Do a detailed analysis of your own typing style, just using Mathematica. Can a person be identified just by the way they type? See group data analysis.
Why I stopped working on the Bongard Problems
Please note: this text was written in the summer of 2007, and explains why I, the author, took a long respite from working on my research topics, after the summer of 2006. At the time when I wrote this, and up until around 2011, I had really stopped my research — so the title was correct up to then. Later, after 2011…
Why Multi-armed Bandit algorithms are superior to A/B testing (with Math)
In a recent post, a company selling A/B testing services made the claim that A/B testing is superior to bandit algorithms. They do make a compelling case that A/B testing is superior to one particular not very good bandit algorithm, because that particular algorithm does not take …
Things Not Strings -- Google Launches Knowledge Graph
We hope this will give you a more complete picture of your interest, provide smarter search results, and pique your curiosity.
Video Stabilization on YouTube
Posted by Matthias Grundmann, Vivek Kwatra, and Irfan Essa, Research at Google One thing we have been working on within Research at Google is deve...
Machine Learning in Python Has Never Been Easier
At BigML we believe that over the next few years automated, data-driven decisions and data-driven applications are going to change the world. In fact, we think it will be the biggest shift in busi…
Google open sources key piece of Street View technology
The latest news from Google on open source releases, major projects, events, and outreach programs for early career developers.
How To Train Your Robot
Last Sunday, I taught six kids of ages 5 to 7 how to program. “In what programming language?” you may ask. Well…I didn’t use a programming language, at least none that you know of. In fact, I…
How To Build a Naive Bayes Classifier
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