Subject archive for "practical-techniques," page 7
MNIST Expanded: 50,000 New Samples Added
This post provides a distilled overview regarding the rediscovery of 50,000 samples within the MNIST dataset.
By Ann Spencer5 min read
Addressing Irreproducibility in the Wild
This Domino Data Science Field Note provides highlights and excerpted slides from Chloe Mawer’s "The Ingredients of a Reproducible Machine Learning Model" talk at a recent WiMLDS meetup. Mawer is a Principal Data Scientist at Lineage Logistics as well as an Adjunct Lecturer at Northwestern University. Special thanks to Mawer for the permission to excerpt the slides in this Domino Data Science Field Note. The full deck is available here.
By Ann Spencer7 min read
Can Data Science Help Us Make Sense of the Mueller Report?
This blog post provides insights on how to apply Natural Language Processing (NLP) techniques.
By Josh Poduska4 min read
Machine Learning in Production: Software Architecture
Special thanks to Addison-Wesley Professional for permission to excerpt the following "Software Architecture" chapter from the book, Machine Learning in Production. This chapter excerpt provides data scientists with insights and tradeoffs to consider when moving machine learning models to production. Also, if you’re interested in learning about how Domino provides an API endpoint for your model, check out this video tutorial on the Domino Support site.
By John Joo12 min read
Comparing the Functionality of Open Source NLP Libraries
In this guest post, Maziyar Panahi and David Talby provide a cheat sheet for choosing open source NLP libraries.
By Maziyar Panahi & David Talby7 min read
Manipulating Data with dplyr
Special thanks to Addison-Wesley Professional for permission to excerpt the following "Manipulating data with dplyr" chapter from the book, Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R. Domino has created a complementary project.
By Domino40 min read
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