women’s style recommendation with artificial intelligence (part #2)

In “women’s style recommendation with artificial intelligence (part #1)”, I introduced my work toward developing artificial intelligence (AI) for fashion and style recommendation. Essentially, its an expert system built on a Bayesian belief network. Now I discuss model validation and next steps in the design iteration process. I first wanted to see if the trained […]

women’s style recommendation with artificial intelligence (part #1)

Introduction We know several basic style “rules” (ha!) based on body shape: Skirts: “Apple” Body Shape: IF body shape is apple AND skirt has front zipper THEN don’t wear IF body shape is apple AND skirt has side zipper THEN wear IF body shape is apple AND skirt has no zipper THEN wear “Rectangular” Body […]

tracking my gender transition through computational linguistics and machine learning

I wrote 299 blog posts in the last decade, roughly half on badassdatascience.com and half on genderpunk360.com. Produced most of the Badass Data Science content while publicly expressing as a man, and most of the Gender Punk 360 content as a woman. Some articles appear on both blogs—for example this one—and in the analysis described […]

artificial intelligence in fashion (part two: a first step)

In my recent post, “artificial intelligence in fashion (part one: brainstorming)“, I produced a list of big ideas on how machine learning and artificial intelligence may be applied to the fashion industry. I addressed sizing, marketing, and design activities when brainstorming this list. This post doesn’t specifically cover an artificial intelligence solution, but it lays […]

artificial intelligence in fashion (part one: brainstorming)

Brainstorming as usual: Fashion dictums involve many IF-THEN-ELSE rules. One can convert this into a decision engine (inference engine). User specifies their body shape, and a recommendation engine selects suitable clothing for them, taking into account the user’s tastes. Upload an image of a dress you want to buy, and specify the dress’s given size. […]

hypothesis #1

Hypothesis: Women generally excel at mindfulness over men because living in a patriarchy forces us to. I can envision an experiment to test the first part of this hypothesis:  Put statistically representative samples of men and women through a battery of psychological tests to measure mindfulness, and then compare the sample medians. However, establishing the […]

estrogen deficit disorder

Potential correlation: I’ve recently upped my estrogen dose, and have recently been happier than I’ve been at anytime in the last two years. What if the two are related? What if my brain expects a certain baseline level of estrogen to function best that it never received until now? There is evidence that hormone administration […]

the science of gender identity (part 1: genetics)

This is the first in a multi-part series surveying the current science of gender identity, particularly with regard to the transgendered population. I intend to discuss the genetic, brain anatomic, and neuropsychological findings of recent studies on the matter. As always, I will incorporate my own statistical analysis of raw study data wherever possible. Here […]

HRC Corporate Equality Index correlates with Fortune’s 50 most admired companies

The Human Right’s Campaign, one of America’s largest civil rights groups, scores companies in its yearly Corporate Equality Index (CEI) according to their treatment of lesbian, gay, bisexual, and transgender employees [1]. The companies automatically evaluated are the Fortune 1000 and American Lawyer’s top 200. Additionally, any sufficiently large private sector organization can request inclusion […]

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 […]