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2016
1802

Image Kernels explained visually

An image kernel is a small matrix used to apply effects like the ones you might find in Photoshop or Gimp, such as blurring, sharpening, outlining or embossing. They're also used in machine learning for 'feature extraction', a technique for determining the most important portions of an image. In this context the…

1809

TLS Everywhere, not https: URIs (2015)

A few years after HTTP appeared, around when W3C was founded in 1994, it was clear that an unencrypted and unauthenticated connection was too much of a liability for a lot of serious stuff, such as e-commerce, which everyone wanted to do on the web. (In those days, mass Deep Packet Inspection was not technically…

1814

How to become a data scientist

This is Part One in a three-part series examining how to become a data scientist. Supported by extensive research and expert opinions, it aims to provide a comprehensive guide to anyone looking to move into this field, irrespective of background and experience. The topic of Part One is: "What is Data Science?".

1816

The 39th Root of 92

My new office space suffers from a shortage of photons, so I’ve been wiring up light fixtures. As I was snaking 14-gauge cable through the ceiling cavity, I began to wonder: Why is it called 14-gauge? I know that the gauge specifies the size of the copper conductors, but how exactly? The number can’t be a simple…

1823

Notes on concurrency bugs

Do concurrency bugs matter? From the literature, we know that most reported bugs in distributed systems have really simple causes and can be caught by trivial tests, even when we only look at bugs that cause really bad failures, like loss of a cluster or data corruption. The filesystem literature echos this result …

1825

Find a new city

There’s a very rom antic American story that I love, that lots of a rtists who are young and starting out love, too, and it goes like this: Move to the Big City with nothing, make friends, make art, struggle, but make it. That’s the kind of story told in Patti Smith’s wonderful memoir, Just Kids .

1826

Understanding gradient descent

Gradient descent is a standard tool for optimizing complex functions iteratively within a computer program. Its goal is: given some arbitrary function, find a minumum. For some small subset of functions - those that are convex - there's just a single minumum which also happens to be global. For most realistic…