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Towards Data Science - Medium
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Latest posts
Last updated about 17 hours ago
Building a Data Lakehouse with DuckDB and DuckLake
about 17 hours ago
Starting with a local Parquet file, then joining it to data stored...
How I Built a Multi-Agent System for Interrupted Time Series Analysis (ITSA)
about 19 hours ago
What it takes to turn counterfactual analysis into an AI product The...
Why You Think Like a Bayesian but Were Taught Like a Frequentist
about 20 hours ago
From a chocolate bar with no price tag to a marketing mix...
When Does Graph RAG Actually Add Value? A Hands-On Experiment
about 22 hours ago
I built four AI retrieval architectures on a laptop and benchmarked them...
How to Make Linear Regression Survive Outliers
1 day ago
Robust Estimation Series: comparing classical and modern robust estimators through theory, code...
Silent Broadcasting Can Ruin Your Model
2 days ago
PyTorch and TensorFlow tensor broadcasting: how silent shape errors cause difficult-to-debug machine...
The KV Cache Tax: Why Inference Servers Run Out of Memory Before Compute
2 days ago
A VRAM budget formula for LLM serving, and three optimization strategies mapped...
The N Squared Pizza Problem
2 days ago
What ordering and not eating a large pizza tells us about ML...
Reparameterization Tricks: Variance Reduction by Smarter Gradients
3 days ago
How moving randomness outside the computation graph turns noisy gradient estimators into...
How to Build Consistent Designs with Claude Code
3 days ago
Keep your apps looking professional with Claude Code design skills The post...
Seizing the Moment: The Hidden Silhouette of Data
3 days ago
How statistical moments connect the mean, the variance, and higher powers of...
How Many Labeled Examples Does a Text Classifier Actually Need? I Measured It.
3 days ago
Before reaching for an LLM API on every classification problem, it's worth...