Advanced Analytics & Engineering
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How Machines Comprehend Language
Bonus: Text-Classification
Natural Language Processing
We expand on the hands-on example of the last post and show how we can leverage TF-IDF sparse embeddings to build a multinomial logistic regression classifier.
Jun 28, 2025
Jonathan Dekermanjian
How Machines Comprehend Language
Introduction to Vector Embeddings
Natural Language Processing
In this first post of a series on Natural Language Processing (NLP), we introduce the foundational techniques for converting textual language into numerical representations…
Jun 21, 2025
Jonathan Dekermanjian
Reproducibility & Scalability Part 4
Scaling With Ray
Engineering
In the final part of this series, we focus our attention on scaling the model training task. We begin by highlight the steps necessary to configure a Ray cluster. Followed…
Apr 17, 2025
Jonathan Dekermanjian
Reproducibility & Scalability Part 3
MLFlow Integration
Engineering
In part three of this series, we configure MLFlow for production by defining our tracking server as a containerized PostgreSQL database and our artifact store as…
Apr 12, 2025
Jonathan Dekermanjian
Reproducibility & Scalability Part 2
PyMC ModelBuilder
Engineering
Analytics
In part two of this series, we go over the necessary steps to take a time-series model into production by integrating the PyMC ModelBuilder class with Kedro.
Apr 2, 2025
Jonathan Dekermanjian
Reproducibility & Scalability Part 1
The Kedro Framework
Engineering
In part one of a four-part series, we are going to set up and walkthrough the Kedro framework. Kedro is an open-source Python framework that provides you with scaffolding to…
Mar 26, 2025
Jonathan Dekermanjian
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