Skip to content
Watch Demo
Watch Demo
    Data Science

    Join Us: An Introduction to Using k-NN in Production

    by Sheila Doshi
    September 28, 2016   1 min read

    Join us next Wednesday, October 5 for a webinar hosted by our Chief Data Scientist covering best practices for using k-NN in production.

    The k-Nearest Neighbors (k-NN) algorithm is a popular method for pattern recognition. It is often one of the first algorithms that budding data scientists learn. Despite its popularity and deceptive simplicity, k-NN can be tricky to use with production data.

    Domino’s Chief Data Scientist, Eduardo Ariño de la Rubia, will discuss best practices for implementing k-NN in production during a webinar scheduled for October 5 at 11am PT. You can register here for the live event and if you can’t make it, we’ll send you a link to the recording.

    The talk will cover:

    • Implementations of k-NN in R and Python;
    • Performance characteristics of k-NN in product scenarios;
    • Common pitfalls of using k-NN in production, and how to avoid them.

    We hope to see you next Wednesday, October 5th!

    Data Science Code Webinar R Uncategorized Python Best Practices data K-NN

    Sheila Doshi

    Other posts you might be interested in
    Data Science

    Using Monte Carlo Simulations in R to Test Methodological Advances in Social Policy Research

    This is a guest post written by Kristin Porter, Senior Research Associate at MDRC. MDRC is a...
    by Kristin Porter
    4 min read
    Data Science

    Data Science Use Cases

    In this post, Don Miner covers how to identify, evaluate, prioritize, and pick which data science...
    by Donald Miner
    12 min read
    Data Science

    User stories: how Domino helps a data scientist create "unicorn-level deliverables"

    We asked our users to tell us stories about how they're using Domino. This is what we heard from ...
    by Nick Elprin
    2 min read