Machine Learning
Quick! How many CPU cores does your phone have? How does it stack up next to the iPhone 4s?
20 lines of code that beat A/B testing every time
Behavioral Targeting: the most underused technique in today’s marketing
Posted in How To on May 30th, 2012 We recently launched geo-behavioral targeting feature in Visual Website Optimizer.
According to a study published in the journal Science, a honeycomb-pattern of tiny, nano-sized magnets that are submerged in a material known as spin ice could solve a complex computational problem in a single step. In fact, clusters of such magnet arrays function similar to a neural network: It is more "similar to how our brains work than to the way in which traditional computers process information," the researchers said. Exploiting the potential of magnets gets more difficult the closer they are located to each other as they interfere with their magnetic fields, the scientists found that their honeycomb patterns create competition between magnets and "reduces the problems caused by these interactions by two-thirds."
Tom's Hardware US
Judea Pearl (born 1936) is an Israeli American computer scientist and philosopher , best known for championing the probabilistic approach to artificial intelligence and the development of Bayesian networks (see the article on belief propagation ). He is also credited for developing a theory of causal and counterfactual inference based on structural models (see article on causality ).
Judea Pearl
At the recent Big Data Workshop held by the Boston Predictive Analytics group, airline analyst and R user Jeffrey Breen gave a step-by-step guide to setting up an R and Hadoop infrastructure.
R and Hadoop: Step-by-step Tutorials
Machine Learning Lectures by Professor Andrew Ng, Stanford CS Dept.
This course (CS229) -- taught by Professor Andrew Ng -- provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control.
Operations, machine learning and premature babies
Julie Steele and I recently had lunch with Etsy’s John Allspaw and Kellan Elliott-McCrea . I’m not sure how we got there, but we made a connection that was (to me) astonishing between web operations and medical care for premature infants. I’ve written several times about IBM’s work in neonatal intensive care at the University of Toronto.
Machine learning « Follow the Data
Machine learning While preparing for our next podcast recording, here are some interesting recent machine learning developments. Machine learning as a service .Exploratory data analysis
In statistics , exploratory data analysis (EDA) is an approach to analyzing data sets to summarize their main characteristics in easy-to-understand form, often with visual graphs, without using a statistical model or having formulated a hypothesis .
Perceptrons in Lisp (A simple machine learning exercise)
So having missed Stanford's Machine Learning course (mostly out of laziness - I'm sure it was great) I'm trying to learn this stuff on my own. I'm going through MIT's Machine Learning notes on OpenCourseWare .