📰 Towards Data Science

I got tired of copying files into an AI chat just to get feedback. So I built a pure Python MCP server that gives AI tools direct access to my local project—no

In Part 1 of this series, we introduced Chronos-2, a time-series foundation model. We got our hands dirty by walking through a real case study and saw what Chro

A look at the real-world value of online graduate AI programs, combining hard data with firsthand experience of a big tech machine learning engineer The post Is

Testing fourteen engines on ninety-three human documents The post I Spent May Evaluating Different Engines for OCR appeared first on Towards Data Science .

Enterprise Document Intelligence [Vol.1 #4] - A diagnostic across PDFs and questions, and a map of the techniques the rest of the series will cover The post Fro

Exploratory data analysis on the US Census Dataset The post Exploring Income Patterns with Python Pandas, Matplotlib, and Seaborn appeared first on Towards Data

Research projects in the age of AI The post It’s the Lessons We Learned Along the Way. Or, Is It? appeared first on Towards Data Science .

Why Agentic BI threatens an entire profession The post Escaping the Valley of Choice in BI appeared first on Towards Data Science .

How Knives Out teaches Bayesian thinking (without you realizing it) The post Solving a Murder Mystery Using Bayesian Inference appeared first on Towards Data Sc

Enterprise Document Intelligence [Vol. 1 #1] The smallest version of RAG that actually works, on a real PDF, with grounded answers and the source lines highligh

Most RAG systems are optimized for answer quality, not cost—and that blind spot gets expensive fast. In this article, I break down a production-ready cost contr

A retrospective on my MS thesis, the leaderboard it placed on, and the LLM shift that has reshaped the field since. The post EmoNet: Speaker-Aware Transformers

And what ORPilot does differently The post Why AI Still Can’t Solve Your Real Mathematical Optimization Problem appeared first on Towards Data Science .

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

Good models don't save bad architecture, and most teams learn that the hard way. The post Most AI Agents Fail in Production Because They’re Built Backwards appe

A simple explanation of what a data agent is and how it works The post What Is a Data Agent? appeared first on Towards Data Science .

How shifting the operational focus from isolated data products to systemic domain architecture resolves technical bottlenecks and optimizes platform investment.

A beginner's honest walkthrough of Extract, Transform, Load using the GitHub API The post I Built My First ETL Pipeline as a Complete Beginner. Here’s How. appe

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 T

How did semantic search evolve from simple keyword matching into modern transformer-based language understanding? This hands-on article builds four generations

It’s like having your own personal expert AWS solutions architect and data engineer rolled into one. The post Introducing the Agent Toolkit for Amazon Web Servi

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 Toward

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 Towar

An intro to recommender systems The post Beyond the Scroll: How Social Media Algorithms Shape Your Reality appeared first on Towards Data Science .