why we still need cyberpunk

William Gibson penned Neuromancer over thirty years ago, and the 1990’s ended viciously on 9/11. With the exception of cyberfeminism, I wrote off “cyberpunk” as an ethic once we as a society stopped saying “cyber” and replaced the word with “online”. Yesterday I traced partial assets of an individual I distrusted—and needed the straight dope […]

summary of our FOREX experiments and next steps

We started by building a support vector machine model based on features used in harmonic trading, with the idea that ideal “harmonic” ratios can be learned rather than explicitly specified. This worked on testing sets but not when we started trading with it. We abandoned the model before we realized that we need to manage […]

picking stocks by graph database (part 2: machine learning)

In our last post, we demonstrated a graph database created to enable study of the stock market, particularly the study of causality relationships. So how to proceed from there? At this stage we want to pick winning stocks, not write an academic paper, so our focus turns toward practical machine learning. Source Data We start […]

100th post to badass data science

This marks the 100th post to badass data science. I’ve written about everything from Lady Gaga to computational fluid dynamics, usually with a science or data related spin. I thought I’d look at my posts analytically rather than simply reminisce. First, here is a tag cloud for the first 99 posts: From this tag cloud, […]

when pi = 4

We are all familiar with the equation relating a circle’s radius to its circumference: Rearranging, we get and in Euclidean geometry we determine pi’s value of 3.14158… given a circle of any radius. But in the non-Euclidean taxicab geometry, pi equals four, which will be demonstrated below. Taxicab geometry is a two-dimensional geometry where points […]

artificial intelligence and algorithm ecologists

“In some sense, you can argue that the science fiction scenario is already starting to happen,” Thinking Machines’ Hillis says. “The computers are in control, and we just live in their world.” — Wired Wired magazine recently reported that artificial intelligence (AI) has arrived in full force, though not in the manner anticipated by the […]

finding the ‘least bloggable units’ in a story

This post guides my growth as a writer; I’m posting it simply to hold myself accountable for the idea. When I started crafting what eventually became last Tuesday’s blog post about how survey questionnaires amplify questionnaire writers’ biases, I envisioned a much longer post examining how the delivery of survey questionnaires through web browsers—instead of […]

bias reinforcement through survey questionnaires

Today I play media theorist and examine how survey questionnaires reinforce survey designers’ biases: The knowledge that biases emit from survey questionnaires is nothing new. The extreme case, “push-polling”, intentionally guides the questionnaire reader toward a viewpoint, without real interest in their prior opinion. Any survey writer willing to push-poll already understands my concerns about […]

a better way to ask about gender in survey questionnaires

Survey questionnaires regularly ask respondents’ sex or gender, and mostly offer only the binary options: When presented with such a survey on paper, I typically add and then select a third option: “Fuck you”. (Similarly, I do the same with race/ethnicity questions when asked to choose one out of four or five options). However, we […]

how to convince your parents to abandon dial-up internet

Many readers will be familiar with the scenario: Your parents still use dial-up internet, no matter what arguments you make. Sometimes it takes creative social engineering to resolve the issue. Here is how I finally convinced my mom to get cable internet service: I live in a hazardous land ravaged by gila monsters, tornadoes, drive-through […]