Harlan D. Harris
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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

  • 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

  • Communicating A/B Test Results for Conversion Rates with Ratios and Uncertainty Intervals
  • Staff Data Scientist: Comments on Will Larson's Staff Engineer Book
  • A/B Testing and Product Ratings, Part 1: Delays and Bias
  • New Publications and Upcoming Talks
  • Stovetop Smoked Chinese Fish
  • How I Rewrite Recipes
  • On moving my blog from Wordpress to Blogdown
  • On How and When to Teach Layers of Abstraction in Programming

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Harlan D. Harris

Copyright 2009-  HARLAN D. HARRIS. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

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