Don’t Let Messy Data Bend Your Curves
Robust Estimation Series: Building Accurate Curves with Polynomials and Splines With Spurious Data The post Don’t Let Messy Data Bend Your Curves appeared first on Towards Data Science .
Stories from Towards Data Science
Use this page to scan recent stories from Towards Data Science, see the themes that keep appearing, and jump into complete story briefs.
Recurring themes in this source.
Data ScienceMissing DataRegressionPolynomial RegressionCurve FittingEditor's PicksOutliersMathematicsPythonKurtosisSkewnessMachine LearningQuantum Machine LearningQuantum Computing
Recent curated reads
Skewness and Kurtosis: From Moments to Machine Learning
The mathematics, intuition, interpretation, and practical use of higher-order moments. The post Skewness and Kurtosis: From Moments to Machine Learning appeared first on Towards Data Science .
Why Parameter Count Is Not Model Complexity: An Introduction to Effective Dimension
What does effective dimension reveal about redundancy, generalization, and trainability that parameter count, loss, and accuracy do not? The post Why Parameter Count Is Not Model Complexity: An Introduction to Effective Dimension appeared first on Towards Data Science .
Decision Models in Action: Build a Hybrid LLM Workflow
A hands-on guide to building browser automation by combining decision models with LLMs. The post Decision Models in Action: Build a Hybrid LLM Workflow appeared first on Towards Data Science .
I Built a Pipeline to Track the Job Market I'm Trying to Break Into.
Building an incremental pipeline with dbt snapshots, and the API that quietly lied to me along the way. The post I Built a Pipeline to Track the Job Market I'm Trying to Break Into. appeared first on Towards Data Science .
The Hidden Cost of LLM Routing: Why Switching Models Costs More
I tested LLM routing to understand why switching models mid-session can erase the savings promised by cheaper inference The post The Hidden Cost of LLM Routing: Why Switching Models Costs More appeared first on Towards Data Science .
Welcome to Google Gemini 4 Argon
A million-token output window changes what you can hand a model in one go, and the benchmarks and the bill show who it actually suits. The post Welcome to Google Gemini 4 Argon appeared first on Towards Data Science .
Can Conformal Prediction Take You from Accurate to Reliable Machine Learning?
ML model adoption doesn't stop with acceptance of accuracy; it starts there. The post Can Conformal Prediction Take You from Accurate to Reliable Machine Learning? appeared first on Towards Data Science .
Inferring the Host: A Bayesian Look at the Monty Hall Problem
"Always switch" is true for one particular host. Watch a few episodes and you can work out which host you've got. The post Inferring the Host: A Bayesian Look at the Monty Hall Problem appeared first on Towards Data Science .
Both Charts Are Right. So Why Do They Disagree?
The statistical paradox that shows how combining data can reverse the story. The post Both Charts Are Right. So Why Do They Disagree? appeared first on Towards Data Science .
AI Harms and Their Technical Causes
How technical choices can lead to safety failures, and what to do differently The post AI Harms and Their Technical Causes appeared first on Towards Data Science .
Does Agentic RAG Actually Retrieve Better Evidence? I Tested It on 298 Questions
I let an AI agent search again whenever it chose. It found some papers plain search had missed, lost some plain search had found, and gained too little to trust. The post Does Agentic RAG Actually Retrieve Better Evidence? I Tested It on 298 Questions appeared first on Towards Data Science .
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