Subject archive for "code," page 7
Themes and Conferences per Pacoid, Episode 11
Paco Nathan's latest article covers program synthesis, AutoPandas, model-driven data queries, and more.
By Paco Nathan20 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
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
Highlights from the Maryland Data Science Conference: Deep Learning on Imagery and Text
Niels Kasch, cofounder of Miner & Kasch, an AI and Data Science consulting firm, provides insight from a deep learning session that occurred at the Maryland Data Science Conference.
By Domino11 min read
SHAP and LIME Python Libraries: Part 2 - Using SHAP and LIME
This blog post provides insights on how to use the SHAP and LIME Python libraries in practice and how to interpret their output, helping readers prepare to produce model explanations in their own work. If interested in a visual walk-through of this post, then consider attending the webinar.
By Josh Poduska9 min read
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