One of my biggest commercial wins was a seemingly small UI tweak that led to a roughly 1.5% marketplace revenue bump. Teachers Pay Teachers (TPT, think "Etsy for Teachers" -- educational resources created by and sold to other educators) was a mature marketplace, where revenue wins from search system changes …
Read MoreThe other day, I was reading a post by Venkatash Rao (thousands of words of under-edited brilliance, as usual), and was struck by this note about the complexity of climate solutions:
I tend to take as an article of faith the systems science rule of thumb that the complexity of solutions generally matches the …
Read MoreRecently, tech-journalism site The Markup ran a long, detailed, critical investigation of a predictive machine learning model used by the State of Wisconsin to identify public school students at risk of not graduating. I mostly agree with the conclusions of the piece -- the system appears not to be fit for purpose and …
Read MoreNew Publications and Upcoming Talks
Sep 4, 2018 · 1 min read · algorithms conferences data science machine learning meetup software architecture ·Just a quick post here to note a few professional accomplishments:
- I just added a new publication to my vita -- a peer-reviewed conference proceeedings article about abstractions for building repeated, related versions of similar predictive models. Check out some longer thoughts on Medium, or read the full article. …
Read MoreThis post was originally published on Medium
I recently attended two small conferences — the ISBIS (International Society for Business and Industrial Statistics) 2017 conference, held at IBM Research in Westchester County, and the Domino Data Lab Popup, held in West SoHo. I was invited to speak at ISBIS (slides here, …
Read MoreThis post was originally published on Medium
Occasionally when chatting with other data scientists, especially with others who are interested in integrating predictive models into production software system, the word “scaling” comes up.
Not this. Although some West Coast data scientists are into this kind of scaling …
Read MoreThis post was originally published on Medium
A particularly good talk at Strata NY last year was by Brett Goldstein, former CIO of Chicago, who talked about accountability and transparency in predictive models that affect people’s lives. This struck a strong chord with me, so I wanted to take some time to write down …
Read MoreInsights from a Predictive Model Pipeline Abstraction
Nov 7, 2016 · 5 min read · data science machine learning software engineering software architecture programming ·This post was originally published on Medium
When building a complex system, it’s often helpful to think about the design of that system using patterns and abstractions. Architects and software engineers do so frequently, and the experience of implementing predictive modeling pipelines has recently led to a variety of …
Read MoreThis post was originally published on Medium
You’re a data scientist, and you’ve got a predictive model — great work! Now what? In many cases, you need to hook it up to some sort of large, complex software product so that users can get access to the predictions. Think of LinkedIn’s People You May Know, which mines your …
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