Data Science

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Avoiding Costly Mistakes with Uncertainty Quantification for Algorithmic Home Valuations

Avoiding Costly Mistakes with Uncertainty Quantificatio...

The simple tricks for using AVMU, or Automated Valuation Model Uncertainty, to m...

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Circuit Tracing: A Step Closer to Understanding Large Language Models

Circuit Tracing: A Step Closer to Understanding Large L...

Reverse-engineering large languages models' computation circuit to understand th...

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Unlock the Power of ROC Curves: Intuitive Insights for Better Model Evaluation

Unlock the Power of ROC Curves: Intuitive Insights for ...

Go beyond the definitions: grasp the real meaning of AUC and ROC analysis for pr...

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A Data Scientist’s Guide to Docker Containers

A Data Scientist’s Guide to Docker Containers

How to enable your ML model to run anywhere. The post A Data Scientist’s Guide t...

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Mining Rules from Data

Mining Rules from Data

Using decision trees for quick segmentation The post Mining Rules from Data app...

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Time Series Forecasting Made Simple (Part 1): Decomposition and Baseline Models

Time Series Forecasting Made Simple (Part 1): Decomposi...

Learn the intuition behind time series decomposition, additive vs. multiplicativ...

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Why CatBoost Works So Well: The Engineering Behind the Magic

Why CatBoost Works So Well: The Engineering Behind the ...

CatBoost stands out by directly tackling a long-standing challenge in gradient b...

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Deb8flow: Orchestrating Autonomous AI Debates with LangGraph and GPT-4o

Deb8flow: Orchestrating Autonomous AI Debates with Lang...

Inside Deb8flow: Real-time AI debates with LangGraph and GPT-4o. The post Deb8f...

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Ivory Tower Notes: The Problem

Ivory Tower Notes: The Problem

When a data science problem is "the" problem The post Ivory Tower Notes: The Pr...

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How to Measure Real Model Accuracy When Labels Are Noisy

How to Measure Real Model Accuracy When Labels Are Noisy

The math behind “true” accuracy and error correlation The post How to Measure Re...

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Linear Regression in Time Series: Sources of Spurious Regression

Linear Regression in Time Series: Sources of Spurious R...

Why does the autocorrelation of the errors term matter? The post Linear Regress...

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Platform-Mesh, Hub and Spoke, and Centralised | 3 Types of data team

Platform-Mesh, Hub and Spoke, and Centralised | 3 Types...

Why understanding team structure is critical for data and AI. The post Platform...

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How to Make Your LLM More Accurate with RAG & Fine-Tuning

How to Make Your LLM More Accurate with RAG & Fine-Tuning

Two of the most important methods for improving the basic model of an LLM or ada...

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Heatmaps for Time Series 

Heatmaps for Time Series 

Visualizing trends and outliers with non-linear color scales. The post Heatmaps...

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How to Develop Complex DAX Expressions

How to Develop Complex DAX Expressions

At some point or another, any Power BI developer must write complex Dax expressi...

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Experiments Illustrated: Can $1 Change Behavior More Than $100?

Experiments Illustrated: Can $1 Change Behavior More Th...

A small prize for something easy vs a big prize for something difficult? The po...

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