Subject archive for "code," page 7

Data Science

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

Data Science

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

Data Science

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

Data Science

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

Data Science

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

Code

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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