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Your home for data science. A Medium publication sharing concepts, ideas and codes. - Medium
Site URL: towardsdatascience.com?source=rss----7f60cf5620c9---4
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Posts: 28
Followers: 2
Don’t Let Messy Data Bend Your Curves
https://towardsdatascience.com/dont-let-messy-data-bend-your-curves/
Published: October 23, 2026 15:30
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.
Skewness and Kurtosis: From Moments to Machine Learning
https://towardsdatascience.com/skewness-and-kurtosis-from-moments-to-machine-learning/
Published: October 23, 2026 14:00
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
Published: October 23, 2026 12:30
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…
Your Six AI Models Are Really Two: The Math of Correlated Mistakes
https://towardsdatascience.com/your-six-ai-models-are-really-two-the-math-of-correlated-mistakes/
Published: October 23, 2026 11:00
Ask several models the same question, take a vote, and you get fewer independent opinions than you paid for. One formula says how many, and I checked it on six open models and 1,500 exam questions. The post Your Six AI Models Are Really Two: The Math of…
Does Agentic RAG Actually Retrieve Better Evidence? I Tested It on 298 Questions
Published: October 22, 2026 15:30
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…
Raman Spectra Preprocessing and Non-Negative Least Squares Modelling in Python: Monitoring Zeolite Crystallization
Published: October 22, 2026 14:00
A short, reproducible tutorial on spectral unmixing using real in situ interzeolite conversion data The post Raman Spectra Preprocessing and Non-Negative Least Squares Modelling in Python: Monitoring Zeolite Crystallization appeared first on Towards Data…
Same Answer, Different Reason: What a Reasoning Model Says When It Follows a Planted Hint
Published: October 22, 2026 12:30
I put wrong answers in front of 200 exam questions and read what a small model’s reasoning said when it fell for them. The post Same Answer, Different Reason: What a Reasoning Model Says When It Follows a Planted Hint appeared first on Towards Data…
Could On-Policy Self-Distillation Revolutionize Post-Training?
https://towardsdatascience.com/could-on-policy-self-distillation-revolutionize-post-training/
Published: October 22, 2026 11:00
Teaching foundation models new skills without breaking them is hard. A new reinforcement learning-based approach might have the power to change that. The post Could On-Policy Self-Distillation Revolutionize Post-Training? appeared first on Towards Data…
Decision Models in Action: Build a Hybrid LLM Workflow
https://towardsdatascience.com/decision-models-in-action-build-a-hybrid-llm-workflow/
Published: October 21, 2026 15:30
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.
How to Turn Long-Running Python Simulations Into a Self-Service Platform
Published: October 21, 2026 14:00
What I learned about queues, failure recovery, and reproducibility while building asynchronous workloads on AWS The post How to Turn Long-Running Python Simulations Into a Self-Service Platform appeared first on Towards Data Science.
Spatial Reasoning in AI Models, Taken Apart
https://towardsdatascience.com/spatial-reasoning-in-ai-models-taken-apart/
Published: October 21, 2026 12:30
Grid puzzles that people solve almost perfectly show where language and vision models still break The post Spatial Reasoning in AI Models, Taken Apart appeared first on Towards Data Science.
I Built a Pipeline to Track the Job Market I'm Trying to Break Into.
https://towardsdatascience.com/i-built-a-pipeline-to-track-the-job-market-im-trying-to-break-into/
Published: October 21, 2026 11:00
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.
Synthetic-to-Real Transfer with Frozen DINOv3 Features
https://towardsdatascience.com/synthetic-to-real-transfer-with-frozen-dinov3-features/
Published: October 20, 2026 15:30
Training models on procedurally generated datasets for card detection and segmentation The post Synthetic-to-Real Transfer with Frozen DINOv3 Features appeared first on Towards Data Science.
Skill or MCP Server? Ask What Stops the LLM From Disobeying
https://towardsdatascience.com/skill-or-mcp-server-ask-what-stops-the-llm-from-disobeying/
Published: October 20, 2026 14:00
Towards Spec-Driven Test Automation, Part 4 The post Skill or MCP Server? Ask What Stops the LLM From Disobeying appeared first on Towards Data Science.
The Hidden Cost of LLM Routing: Why Switching Models Costs More
https://towardsdatascience.com/the-hidden-cost-of-llm-routing-why-switching-models-costs-more/
Published: October 20, 2026 12:30
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.
What's in the Box? Distinguishing Acceptable Traces from Unacceptable Ones
Published: October 20, 2026 11:00
Turn scattered requirements into deployable agents The post What's in the Box? Distinguishing Acceptable Traces from Unacceptable Ones appeared first on Towards Data Science.
Welcome to Google Gemini 4 Argon
https://towardsdatascience.com/welcome-to-google-gemini-4-argon/
Published: October 19, 2026 15:30
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?
Published: October 19, 2026 14:00
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.
How Many EEG Channels Do You Actually Need?
https://towardsdatascience.com/how-many-eeg-channels-do-you-actually-need/
Published: October 19, 2026 12:30
Testing sensor reduction, feature ranking, and generalization to unseen participants The post How Many EEG Channels Do You Actually Need? appeared first on Towards Data Science.
AI Harms and Their Technical Causes
https://towardsdatascience.com/ai-harms-and-their-technical-causes/
Published: October 19, 2026 11:00
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.
Inferring the Host: A Bayesian Look at the Monty Hall Problem
https://towardsdatascience.com/inferring-the-host-a-bayesian-look-at-the-monty-hall-problem/
Published: October 18, 2026 14:00
"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?
https://towardsdatascience.com/both-charts-are-right-so-why-do-they-disagree/
Published: October 18, 2026 12:00
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.
The Number Your Quantization Gate Doesn't Have
https://towardsdatascience.com/the-number-your-quantization-gate-doesnt-have/
Published: October 17, 2026 14:00
Ten quantization guides, and not one threshold-dependent metric between them — what that gap hides, and the two numbers that close it. The post The Number Your Quantization Gate Doesn't Have appeared first on Towards Data Science.
When EEG Models See the Same People in Training and Testing
https://towardsdatascience.com/when-eeg-models-see-the-same-people-in-training-and-testing/
Published: October 17, 2026 12:00
How participant-aware evaluation changed performance across three machine-learning models The post When EEG Models See the Same People in Training and Testing appeared first on Towards Data Science.
Do You Still Own the Code Your AI Wrote? I Built CodeOwnership to Measure It
Published: October 16, 2026 15:30
I rated my confidence 4 out of 5, then couldn’t find a planted bug in 8 minutes. Here is the tool, the run, and its limits. The post Do You Still Own the Code Your AI Wrote? I Built CodeOwnership to Measure It appeared first on Towards Data Science.
I Built a Claim-Checker for Writing With Codex. It Passed a Wrong Claim.
Published: October 16, 2026 14:00
The tool found the right passage but missed the mismatch, and the audit shows where rule-based checks break down. The post I Built a Claim-Checker for Writing With Codex. It Passed a Wrong Claim. appeared first on Towards Data Science.
Deploying Data Science Tools: Part 1
https://towardsdatascience.com/deploying-data-science-tools-part-1/
Published: October 16, 2026 12:30
Getting your data science code running anywhere The post Deploying Data Science Tools: Part 1 appeared first on Towards Data Science.
I Reran My Python 3.14 JIT Benchmarks on Python 3.15
https://towardsdatascience.com/i-reran-my-python-314-jit-benchmarks-on-python-315/
Published: October 16, 2026 11:00
The same three workloads show a much stronger JIT, but it still doesn't help every program The post I Reran My Python 3.14 JIT Benchmarks on Python 3.15 appeared first on Towards Data Science.