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Federated Learning, Part 1: The Basics of Training Models Where the Data Lives

I the concept of federated learning (FL) through a comic by Google in 2019. It was a superb piece and did a fantastic job at explaining how products can improve without sending user...

Feature Detection, Part 3: Harris Corner Detection

Feature detection is a website of computer vision that focuses on using tools to detect regions of interest in images. A big aspect of most feature detection algorithms is that they don't employ machine...

EDA in Public (Part 3): RFM Evaluation for Customer Segmentation in Pandas

! In case you’ve been following along, we’ve come a good distance. In Part 1, we did the “dirty work” of cleansing and prepping. In Part 2, we zoomed out to a high-altitude view of...

EDA in Public (Part 2): Product Deep Dive & Time-Series Evaluation in Pandas

! Welcome back to the “EDA in Public” series! That is Part 2 of the series; when you haven’t seen Part 1 yet, read it here. Here’s a recap of what we conquered. In Part...

EDA in Public (Part 1): Cleansing and Exploring Sales Data with Pandas

! Welcome to the beginning of a serious data journey that I’m calling “EDA in Public.” For individuals who know me, I consider one of the best method to learn anything is to tackle...

Data Visualization Explained (Part 5): Visualizing Time-Series Data in Python (Matplotlib, Plotly, and Altair)

It’s time to begin constructing your personal data visualizations. In this text, I'll walk through the strategy of visualizing time-series data in Python intimately. If you might have not read the previous articles in...

Javascript Fatigue: HTMX Is All You Have to Construct ChatGPT — Part 2

1, we showed how we could leverage HTMX so as to add interactivity to our HTML elements. In other words, Javascript without Javascript. As an example that, we began constructing a straightforward chat that...

Tips on how to Evaluate Retrieval Quality in RAG Pipelines (Part 3): DCG@k and NDCG@k

: 👉 👉 of my post series on retrieval evaluation measures for RAG pipelines, we took an in depth have a look at the binary retrieval evaluation metrics. More specifically, in Part 1, we went...

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