Tag: Python
Data Drift Detection for Image Classifiers
This article covers how to detect data drift for models that ingest image data as their input in order to prevent their silent degradation in production....
Techniques for Collecting, Prepping, and Plotting Data: Predicting Social Media-Influence in the NBA
This article provides insight on the mindset, approach, and tools to consider when solving a real-world ML problem. It covers questions to consider as well as...
Understanding Causal Inference
This article covers causal relationships and includes a chapter excerpt from the book Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications by...
Exploring US Real Estate Values with Python
This post covers data exploration using machine learning and interactive plotting. If interested in running the examples, there is a complementary Domino project available. Introduction Models...
Natural Language in Python using spaCy: An Introduction
This article provides a brief introduction to natural language using spaCy and related libraries in Python. The complementary Domino project is also available. Introduction This article...
Towards Predictive Accuracy: Tuning Hyperparameters and Pipelines
This article provides an excerpt of “Tuning Hyperparameters and Pipelines” from the book, Machine Learning with Python for Everyone by Mark E. Fenner. The excerpt and...
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...
Themes and Conferences per Pacoid, Episode 4
Paco Nathan's latest column covers themes that include data privacy, machine ethics, and yes, Don Quixote. Introduction Welcome back to our monthly series about data science....
SHAP and LIME Python Libraries: Part 1 – Great Explainers, with Pros and Cons to Both
This blog post provides a brief technical introduction to the SHAP and LIME Python libraries, followed by code and output to highlight a few pros and...
Making PySpark Work with spaCy: Overcoming Serialization Errors
In this guest post, Holden Karau, Apache Spark Committer, provides insights on how to use spaCy to process text data. Karau is a Developer Advocate at Google, as well...
On the Importance of Community-Led Open Source
Wes McKinney, Director of Ursa Labs and creator of pandas project, presented the keynote, "Advancing Data Science Through Open Source" at Rev. McKinney's keynote covered open...
Building a Domino Web App with Dash
Randi R. Ludwig, Data Scientist at Dell EMC and an organizer of Women in Data Science ATX, covers how to build a Domino web app with...
Intel’s Python Distribution is Smoking Fast, and Now it’s in Domino
Domino just finished benchmarking Intel’s Python Distribution, and it is fast, very fast. Intel’s Python distribution is available for use in Domino. Intel’s Python Distribution People...