Harlan D. Harris
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  • New Publications and Upcoming Talks

    calendar Sep 4, 2018 · 1 min read · algorithms conferences data science machine learning meetup software architecture  ·
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    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 …


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  • On moving my blog from Wordpress to Blogdown

    calendar Mar 11, 2018 · 3 min read · meta R  ·
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    This is my first new post on harlan.harris.name for a while. The occasion is a change of scenery. For about 10 years, my primary blog has been on WordPress, more recently supplemented by Medium. But WordPress and Medium are limited for technical writing, and the trend among data people recently has been to publish …


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  • On How and When to Teach Layers of Abstraction in Programming

    calendar Oct 5, 2017 · 5 min read · programming R teaching computer science  ·
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    This post was originally published on Medium There’s recently been some interesting opinionated writing in the R statistical programming community about how and when to teach the abstracted, easy-to-use approaches to solving problems, versus the underlying nitty-gritty. David Robinson, Data Scientist at Stack Overflow, …


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  • A few things I learned from two small Data Science conferences

    calendar Jul 16, 2017 · 5 min read · data science machine learning conferences  ·
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    This 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, …


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  • What do Data Scientists mean by “Scaling”?

    calendar Jun 9, 2017 · 7 min read · machine learning data science scaling software architecture  ·
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    This 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 …


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  • Conference Blogging INFORMS Analytics 2017

    calendar Apr 9, 2017 · 3 min read · data science conferences analytics operations research  ·
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    This post was originally published on Medium A particularly good way to get a little more out of professional conferences is to blog about your experiences, I think. It makes you focus your thoughts on things like “what’s the big take-away here,” and “what should I be asking people in the hallways?” Rather than just …


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  • Transparency, Trust, and Proprietary Predictive Analytics

    calendar Feb 27, 2017 · 9 min read · data science machine learning algorithms ethics  ·
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    This 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 …


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  • neveragain.tech

    calendar Jan 8, 2017 · 1 min read · data ethics  ·
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    I, Harlan D. Harris, hereby commit to the neveragain.tech pledge. Please stand with me and hold me to it. It starts: We, the undersigned, are employees of tech organizations and companies based in the United States. We are engineers, designers, business executives, and others whose jobs include managing or processing …


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  • Insights from a Predictive Model Pipeline Abstraction

    calendar Nov 7, 2016 · 5 min read · data science machine learning software engineering software architecture programming  ·
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    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 …


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  • Patterns for Connecting Predictive Models to Software Products

    calendar Jul 12, 2016 · 9 min read · machine learning data science software engineering R  ·
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    This 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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Featured Posts

  • A Collaborative Template for A/B Tests
  • Are LLMs a simple solution? And if so, for what problems?
  • LLMs and Theories of Consciousness
  • The Five Types of A/B Test Decisions
  • p Values Are Useful for A/B Tests, Sometimes
  • Communicating A/B Test Results for Conversion Rates with Ratios and Uncertainty Intervals
  • Staff Data Scientist: Comments on Will Larson's Staff Engineer Book

Recent Posts

  • A Collaborative Template for A/B Tests
  • Are LLMs a simple solution? And if so, for what problems?
  • LLMs and Theories of Consciousness
  • The Five Types of A/B Test Decisions
  • A Critique of The Markup’s Investigation into Predictive Models of Student Success
  • p Values Are Useful for A/B Tests, Sometimes
  • Communicating A/B Test Results for Conversion Rates with Ratios and Uncertainty Intervals
  • Staff Data Scientist: Comments on Will Larson's Staff Engineer Book

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Harlan D. Harris

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