Tokenminning: How to Get More from Your Chatbot for Less
Tokenmaxxing is out. Real patterns for reducing costs without sacrificing AI effectiveness
The post Tokenminning: How to Get More from Your Chatbot for Less appeared first on Towards Data Science.
The Untaught Lessons of RAG Question Parsing: Structure Before You Search
Enterprise Document Intelligence [Vol.1 #6ter] - Six positions on the question-parsing brick that contradict the mainstream RAG playbook
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The next leakage problem is not only temporal. It is spatial, structural, and coverage-related. AI-generated illustration created with DALL·E
The post Why Powerful ML Is Deceptively Easy — Part 2 appeared first on Towards Data Science.
In the age of AI, standing out here means a lot more than ever. Here are three tips to walk into your next interview with confidence.
The post Surviving the Data Science Behavioral Interview appeared first on Towards Data Science.
Stop Choosing Between Local and Cloud LLMs: A Field Guide to Hybrid Patterns
A hands-on walkthrough of a hybrid local-cloud workflow using Gemma 4 and GPT-5.4, with reasoning and structured outputs
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How Far Can Classical NLP Go? From Bag-of-Words to Stacking on Spooky Author Identification
An end-to-end classical NLP experiment on Kaggle’s Spooky Author Identification task: from Vowpal Wabbit and TF-IDF/NB-SVM baselines to a tuned stacked ensemble, with a compact representation survey of Bag-of-Words, BM25, Word2Vec, and FastText for context.
The post How Far Can Classical NLP Go? Fro...
Prompt Engineering Fails Quietly — Prompt Regression Is Why
Small prompt changes can silently break critical behavior in production. This article introduces a practical framework to detect hidden regressions before users notice.
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Water Cooler Small Talk, Ep. 11: Overfitting in RAG evaluation
Why memorizing for the exam doesn't mean you understand the subject
The post Water Cooler Small Talk, Ep. 11: Overfitting in RAG evaluation appeared first on Towards Data Science.
Beyond the Straight Line: Choosing Between OLS, Interaction Terms, and Tweedie Regression
Whether you should stick to a classic Ordinary Least Squares regression, introduce interaction terms, or pivot to a Tweedie distribution depends entirely on how your data handles the messy reality of zeros and extreme outliers.
The post Beyond the Straight Line: Choosing Between OLS, Interaction Ter...
One Month Into Learning Data Engineering in Public: Here’s What I Didn’t Write About
A reflection on the first month of learning data engineering in public, and what actually kept me going.
The post One Month Into Learning Data Engineering in Public: Here’s What I Didn’t Write About appeared first on Towards Data Science.
How to Build a Credit Scoring Grid From a Logistic Regression Model
Turning model coefficients into a 0–1000 score, with risk classes and stability checks
The post How to Build a Credit Scoring Grid From a Logistic Regression Model appeared first on Towards Data Science.
Your First Task as a Data Engineer in a New Company? Make the ETL Pipeline Testable
A practical data engineering onboarding workflow for environment setup, automated testing, and AI-assisted development.
The post Your First Task as a Data Engineer in a New Company? Make the ETL Pipeline Testable appeared first on Towards Data Science.
Why I Stopped Using One Agent and Built a Multi-Agent Pipeline Instead
A practical walkthrough using text-to-SQL as the example
The post Why I Stopped Using One Agent and Built a Multi-Agent Pipeline Instead appeared first on Towards Data Science.
Learn about the concept of loops to power your coding agents.
The post How to Create Powerful Loops in Claude Code appeared first on Towards Data Science.
I Spent an Hour on a Data Preprocessing Task Before Asking Gemini
How Gemini solved my Pandas problem in seconds, and why data science fundamentals still matter to spot suboptimal solutions
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If you are a programmer and you don't feel "special" anymore, you are not alone
The post The Era of No-Code AI: What You Need to Know appeared first on Towards Data Science.
Why one-hot encoding isn’t always the best approach, and alternative encodings
The post Encoding Categorical Data for Outlier Detection appeared first on Towards Data Science.
Learn how to apply coding agents to verify work in your browser.
The post How to Use Claude Code in Your Browser appeared first on Towards Data Science.
When RAG Users Ask Vague Questions: Clarify Once, Learn the Default
Enterprise Document Intelligence [Vol.1 #6bis] - Ask one focused clarification, learn the default from the answer, stay silent next time
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Reconstructing the Table of Contents a PDF Forgot to Ship, So RAG Can Scope by Section
Enterprise Document Intelligence [Vol.1 #5septies] - When a PDF prints a contents page but exposes no outline, two ways to turn it back into structure, plus the page-alignment step everyone forgets
The post Reconstructing the Table of Contents a PDF Forgot to Ship, So RAG Can Scope by Section appear...