Linear Regression: From Least Squares to Production-Ready Practice
Linear Regression: From Least Squares to Production-Ready Practice Tags : machinelearning , datascience , python , tutorial Linear regression is the f…
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Inside the Virtual R&D Lab: How Human Imagination and AI Multi-Agents Shape the Future of Science
System Enforces Order, AI Accelerates Logic: Driving Next-Generation R&D Through Human-AI Co-Creation Abstract This case study presents the zero-t…
From Learning Machine Learning to Competing on Kaggle: My First End-to-End Playground Competition Journey
How I applied Exploratory Data Analysis, Feature Engineering, Pipelines, and Ensemble Models to solve a real-world machine learning problem—and the le…
How do you measure something that gives a different answer every time?
I had a simple-sounding question: does ChatGPT recommend this business? You'd think you just ask it. Ask ChatGPT "best personal injury law firm in NYC…
Why merged cells break table extraction from multi-column PDFs
PDF tables look simple until you actually extract one. The visual structure in your reader is a rendering artifact. The underlying file has no table o…
Your eval's confidence interval assumes independent examples. Yours are clustered.
Every binomial confidence interval you have ever computed on an eval pass rate, Wald, Wilson, Clopper-Pearson, all of them, rests on one assumption: e…
73,049 dates through a numerology rule: mostly mod 9, and 33's rarity depends on when you reduce
The usual headline is that 33 is the rarest Life Path, about half a percent. Half a percent of what, reduced in which order? Change the order, to anot…
Regression Isn’t Regularization: A Simple Guide to Understanding Both
Regression and regularization are both important concepts in machine learning and statistics, but they solve different problems. Regression is primari…
Importance of Hypothesis Testing in Data Science
A hypothesis is a clear, testable statement about a population or process. Hypothesis testing then uses sample data to decide whether there is enough …
When the Picture Doesn't Match the Label — Part 2: Feature-Based Detection with OCR and VQA
This is Part 2 of a two-part series. Part 1 covered the problem, the CLIP baseline, and BLIP. This part covers the OCR + VQA pipeline that replaced th…
From Straight Lines to Smarter Models: Understanding Regression and Regularization in Machine Learning
Part 1: Linear Regression — What the Model Actually Does Linear regression is one of the simplest predictive models in machine learning. Its job is st…
Why Federal Reform Picks AI‑Native Outcome Integrators
Executive summary Federal procurement is shifting from labor-based buys toward fixed-price, outcome-focused contracts—and that change alters who wins …
Design + Product Thinking: NYC’s Path to Reliable AI
Design + Product Thinking: NYC’s Path to Reliable AI AI delivers value when it’s useful, trusted, and operational. For city services that affect milli…
A no-code way to scrape live World Cup betting odds
This World Cup has been full of upsets — Norway knocking out Brazil, Cabo Verde drawing with both Spain and Uruguay, all four pre-tournament favorites…
What Building an AI Detector Taught Me About False Positives
The first time we ran our AI content checker on a batch of student essays, one thing became immediately clear: the detector was more confident than we…
Bayesian Neural Networks
Adapted from an appendix of my MS thesis. Bayesian Neural Network Deep neural networks (DNNs) are usually trained using a regularized maximum likeliho…
Gaussian Process Classification
Adapted from an appendix of my MS thesis. Classification We have considered regression problems where the targets are real valued. Classification prob…
Memprediksi Peluang Klub Promosi Bertahan di Liga Top Eropa — Part 1: Kickoff & Rencana
series: Prediksi Survival Klub Debutan Kenapa Project Ini? Setiap musim, klub yang promosi ke liga top (Premier League, La Liga, dst.) menghadapi risi…
Why Is the Normal Distribution So Important in Machine Learning and Statistics?
If you've started learning machine learning or statistics, you've probably encountered the term normal distribution countless times. Whether you're re…
A CSV sample that looks like the whole dataset is worse than no CSV at all
I've been building data2prompt for a few months now. It takes a data-heavy project (CSVs, SQL dumps, notebooks, Excel files) and turns it into a singl…
How ICD-10 Codes Map to an HCC / RAF Score (and Why the Same Code Set Yields Different Scores)
If you're building anything that touches Medicare Advantage risk adjustment, sooner or later you hit this question: "How do ICD-10 codes map to an HCC…
Bootstrapped Data Products — Here's What I Learned
I'm Heshan. I build data products. No VC, no team — just me, a lot of Playwright scripts, and PostgreSQL. Two years ago I couldn't build anything that…
How to Build a Point-in-Time Fundamentals Database from SEC EDGAR (and When Not To)
If you backtest with today's fundamentals, you are cheating yourself. The Revenue figure you pull for Q4 2019 was probably restated in 2021, and the r…
Logistic Regression (Supervised Family)
1. The Problem It Solves Logistic Regression is used when the outcome is a category rather than a number . Most commonly, it's used for binary classif…
Episia: Building an Open-Source Epidemiology Library in Python, Validated Against OpenEpi
Why Episia I am an MD candidate and a self-taught Python developer. Over the past year, working with epidemiological surveillance data in a resource-l…
Rendering Charts Beyond Mermaid's Reach with Vega-Lite and Embedding Them in Markdown (via LLM Skills)
AI agents like Claude Code and Codex can write code, polish documentation, and automate complex tasks. But ask them to "make a scatter plot of this da…
Your Training Set Is Quietly Eating Itself: A Field Guide to Model Collapse in 2026
If you have shipped anything that fine-tunes on its own outputs — a distillation pipeline, a self-instruct loop, a "we generated 200k examples with GP…
Power BI: From Data Cleaning to Interactive Dashboards
Imagine you are an analyst handling messy data and you need to build a dashboard for the team to understand the relationship between the numbers. The …
How I Explored a US Health Dataset with Python — EDA + Hypothesis Testing
I recently completed an exploratory data analysis project on the NHANES (National Health and Nutrition Examination Survey) dataset from Kaggle. It's a…
Sharp Money vs Public Money: What Betting Line Movement Data Reveals
The opening kickoff of Super Bowl LVII was still three weeks away when sharp bettors began their work. While casual fans were scrolling through prop b…