A step-by-step journey from calculus-based optimization to Stochastic Gradient Descent
The post Why Gradient Descent Became Stochastic appeared first on Towards Data Science.
One of the most important concepts in DAX is lineage. It’s about the information on where something comes from. Let’s see what it is and how we can manipulate it.
The post Explaining Lineage in DAX appeared first on Towards Data Science.
Why AI Still Can’t Solve Your Real Mathematical Optimization Problem
And what ORPilot does differently
The post Why AI Still Can’t Solve Your Real Mathematical Optimization Problem appeared first on Towards Data Science.
How to Effectively Run Many Claude Code Sessions in Parallel
Keep an overview of all your coding agents that run in parallel
The post How to Effectively Run Many Claude Code Sessions in Parallel appeared first on Towards Data Science.
What a recent study on ChatGPT, Python, R, and Stata tells us about AI-assisted coding for causal inference
The post Can AI Write Your Code? appeared first on Towards Data Science.
The Ultimate Beginners’ Guide to Building an AI Agent in Python
Simple step-by-step tutorial to building an AI agent in Python
The post The Ultimate Beginners’ Guide to Building an AI Agent in Python appeared first on Towards Data Science.
Beyond the Model: Why Data Scientists Must Embrace APIs and API Documentation
Unlock the power of API for data-driven solutions
The post Beyond the Model: Why Data Scientists Must Embrace APIs and API Documentation appeared first on Towards Data Science.
How to Mathematically Choose the Optimal Bins for Your Histogram
Optimal Resolution in Histograms: A Rigorous Bayesian Approach to Density Fitting
The post How to Mathematically Choose the Optimal Bins for Your Histogram appeared first on Towards Data Science.
Lost in Translation: How AI Exposes the Rift Between Law and Logic
The tension between Legal and IT has always been frustrating but AI is about to make it worse, at scale. The answer is observable compliance: encoding legal intent directly into architecture.
The post Lost in Translation: How AI Exposes the Rift Between Law and Logic appeared first on Towards Data ...
3 Claude Skills Every Data Scientist Needs in 2026
If you don't want to be left behind, start doing these things with Claude
The post 3 Claude Skills Every Data Scientist Needs in 2026 appeared first on Towards Data Science.
Benders’ Decomposition 101: How to Crack Open a Stochastic Program That’s Too Big to Swallow Whole
Whenever you can rewrite an optimization problem so that fixing some variables makes the rest separable, you could try Benders.
The post Benders’ Decomposition 101: How to Crack Open a Stochastic Program That’s Too Big to Swallow Whole appeared first on Towards Data Science.
Proxy-Pointer RAG: Solving Entity and Relationship Sprawl in Large Knowledge Graphs
A scalable semantic localization layer for entity and relationship reconciliation
The post Proxy-Pointer RAG: Solving Entity and Relationship Sprawl in Large Knowledge Graphs appeared first on Towards Data Science.
Pandas Isn’t Going Anywhere: Why It’s Still My Go-To for Data Wrangling
Billions of rows might be the exception, but for everything else, Pandas is still a highly reliable tool.
The post Pandas Isn’t Going Anywhere: Why It’s Still My Go-To for Data Wrangling appeared first on Towards Data Science.
From Data Analyst to Data Engineer: My 12-Month Self-Study Roadmap
The exact tools I'm learning, the projects I'm building, and the mistakes I'm already expecting to make
The post From Data Analyst to Data Engineer: My 12-Month Self-Study Roadmap appeared first on Towards Data Science.
Why My Coding Assistant Started Replying in Korean When I Typed Chinese
From a Chinese prompt to a Korean response: an embedding-space investigation into how code vocabulary reshapes language
The post Why My Coding Assistant Started Replying in Korean When I Typed Chinese appeared first on Towards Data Science.
I Built the Same B2B Document Extractor Twice: Rules vs. LLM
A practical comparison between rule-based PDF extraction using pytesseract and an LLM-based approach with Ollama and LLaMA 3, based on a realistic B2B order scenario.
The post I Built the Same B2B Document Extractor Twice: Rules vs. LLM appeared first on Towards Data Science.