Harlan D. Harris
open-menu closeme
Software
Consulting
Publications
About
Medium
github linkedin stackoverflow
  • On moving my blog from Wordpress to Blogdown

    calendar Mar 11, 2018 · 3 min read · meta R  ·
    Share on: twitter facebook linkedin copy

    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 …


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

    calendar Oct 5, 2017 · 5 min read · programming R teaching computer science  ·
    Share on: twitter facebook linkedin copy

    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, …


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

    calendar Jul 16, 2017 · 5 min read · data science machine learning conferences  ·
    Share on: twitter facebook linkedin copy

    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, …


    Read More
  • What do Data Scientists mean by “Scaling”?

    calendar Jun 9, 2017 · 7 min read · machine learning data science scaling software architecture  ·
    Share on: twitter facebook linkedin copy

    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 …


    Read More
  • Conference Blogging INFORMS Analytics 2017

    calendar Apr 9, 2017 · 3 min read · data science conferences analytics operations research  ·
    Share on: twitter facebook linkedin copy

    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 …


    Read More
  • Transparency, Trust, and Proprietary Predictive Analytics

    calendar Feb 27, 2017 · 9 min read · data science machine learning algorithms ethics  ·
    Share on: twitter facebook linkedin copy

    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 …


    Read More
  • neveragain.tech

    calendar Jan 8, 2017 · 1 min read · data ethics  ·
    Share on: twitter facebook linkedin copy

    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 …


    Read More
  • Insights from a Predictive Model Pipeline Abstraction

    calendar Nov 7, 2016 · 5 min read · data science machine learning software engineering software architecture programming  ·
    Share on: twitter facebook linkedin copy

    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 More
  • Patterns for Connecting Predictive Models to Software Products

    calendar Jul 12, 2016 · 9 min read · machine learning data science software engineering R  ·
    Share on: twitter facebook linkedin copy

    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 …


    Read More
  • Simulating Rent Stabilization Policy at the National Day of Civic Hacking

    calendar Jun 5, 2016 · 5 min read · R Shiny housing civic hacking open data hackathon Washington DC  ·
    Share on: twitter facebook linkedin copy

    This post was originally published on Medium Yesterday was the 2016 National Day of Civic Hacking, a Code for America event that encourages people with technology and related skills to explore projects related to civil society and government. My friend Josh Tauberer wrote a thoughtful post earlier about the event …


    Read More
    • ««
    • «
    • 2
    • 3
    • 4
    • 5
    • 6
    • »
    • »»

Featured Posts

  • IZE - Revisiting a hierarchical search technology from the PC era
  • How Search and AI Product Teams are Different
  • Post Query Refinement Suggestions in Search UX, and an Algolia Demo App
  • Use LLMs for Translation and Fallible Reasoning
  • Vibe-Coding the Missing Algolia Comparison Dashboard
  • AI-Assisted Coding, Side Projects, and Donationware
  • A Collaborative Template for A/B Tests
  • Are LLMs a simple solution? And if so, for what problems?

Recent Posts

  • Design Decisions for a New Search Results Page
  • Introducing Almost Five, a New-ish Pebble Watchface
  • Are Black Holes the Answer to Dark Matter and Dark Energy?
  • You Don't Need a Search Engineer; You Need a Search Scientist
  • Nine Things I Learned Building a Scrabble App for My Friends
  • IZE meets AI -- semantic search, smarter labels, and agentic orientation
  • GeneralIZE -- How else could IZE's hierarchies be generated?
  • Could We Build IZE Again?

Categories

PROFESSIONAL 57 PERSONAL 15

Tags

DATA-SCIENCE 26 R 14 ANALYTICS 12 SEARCH 11 STATISTICS 9 MACHINE-LEARNING 8 CONFERENCES 7 A/B-TESTING 6 AI 6 IZE 6 LLMS 6 OPERATIONS-RESEARCH 6 PROGRAMMING 6 BUSINESS 5
All Tags
A/B-TESTING6 AB-TESTING1 ADVERTISING2 AI6 ALGOLIA3 ALGORITHMS4 ANALYTICS12 BIKESHARE1 BLUETOOTH1 BUSINESS5 CIVIC-HACKING1 CODING1 COGNITIVE-SCIENCE1 COMPUTER-SCIENCE1 CONFERENCES7 CONSCIOUSNESS1 COOKING1 COOKING-CLUB2 COSMOLOGY1 CSA3 DATA1 DATA-SCIENCE26 DATAVIZ2 DESIGN1 DESSERT1 DONATIONWARE1 E-COMMERCE1 ETHICS2 FOOD2 GADGETS3 GGPLOT23 GRAPHICS3 HACKATHON2 HISTORY5 HOUSING1 INTERNET2 IZE6 JOB-TITLES4 JOURNALISM2 LISTICLE1 LLMS6 MACHINE-LEARNING8 MANAGEMENT5 MARKETING2 MEDIA1 MEETUP5 META4 MICROECONOMICS1 MONEY1 MP31 OPEN-DATA1 OPERATIONS-RESEARCH6 OPTIMIZATION1 PEBBLE1 PHONES1 PHYSICS1 PREDICTIVE2 PRODUCT4 PRODUCT-DESIGN1 PROGRAMMING6 R14 RECIPES4 REPORTING1 SCALING1 SEARCH11 SHINY2 SIDE-PROJECTS2 SIMPLICITY1 SMARTPHONES2 SMARTWATCH1 SMARTWATCHES1 SOFTWARE1 SOFTWARE-ARCHITECTURE3 SOFTWARE-ENGINEERING3 STATISTICS9 SURVEY2 TEACHING1 TECHNOLOGY2 TELEVISIONS1 UI-INTEGRATION1 UX2 VIBE-CODING1 VIBECODING1 VIDEO1 VISUALIZATION2 WASHINGTON-DC1 WATCHFACE1 WRITING1
[A~Z][0~9]
Harlan D. Harris

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

to-top