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Making Sense of Data: From Statistics to AI
In today's data-driven world, the terms statistics, data science, machine learning, and artificial intelligence are often used interchangeably, yet each field...
From Mendel’s Peas to ChatGPT: A History of Machine Learning
The journey of machine learning is a captivating tale that spans centuries, from the humble pea plants in a 19th-century monastery...
What is Machine Learning? A Beginner’s Guide
Your phone’s camera doesn’t just take pictures anymore. It decides when to use night mode, adjusts focus automatically, and can even...
Welcome to Machine Learning Advocate
Machine Learning is everywhere. It decides which loan applications get approved, which medical scans get flagged for review, which play an...
What Is a Machine Learning Video Model?
When you type a prompt into Runway or Sora and a video clip appears, no existing footage was found or assembled....
Why Learn Machine Learning in the Age of AI
AI and machine learning have never been more accessible. No-code AI platforms, prebuilt agents, and foundation models you can call with...
How Machine Learning Works: It’s Not Learning
A machine learning model doesn’t work the way you probably think it does. When most people hear the word learning, they...
Machine Learning Foundations Part 4: Understanding Hardware
When your phone slows down because too many apps are open, it lags, gets warm, and everything takes twice as long...
Machine Learning Foundations Part 3: Understanding Algorithms
This is Part 3 of our Foundations series. In Part 1, we covered data. In Part 2, models. Now we’re looking...
Machine Learning Foundations Part 2: Understanding Models
This is Part 2 of our Foundations series. In Part 1, we covered data. Now we’re looking at models: what they...
What is Feature Engineering in Machine Learning?
Feature engineering sounds more technical than it is. In machine learning, it means turning raw data into useful inputs for a...
What Is Cross Validation in Machine Learning
Cross validation in machine learning is not just a technique for testing a model. It is a way of asking a...
What Is Overfitting in Machine Learning
Overfitting is not a model failing to learn. It is a model that learned exactly what it was shown, and nothing...
What Regularization Does (and Why Your Model Needs It)
Overfitting is not a mistake the model makes. It is what happens when a model does exactly what it is told....
Machine Learning for Non-Technical Professionals
Why Your “Silly Questions” Are Product Requirements We have a technical writer on our team. She’s sharp, curious, and exactly the...
A Friendly Introduction to Principal Component Analysis
Most datasets don’t have two or three measurements per observation. They have dozens, sometimes hundreds. A patient record might include blood...
Machine Learning Math: Start Simple, Learn as You Go
Last year a data analyst I work with told me she’d closed a machine learning tutorial after the first page. Too...
How Lionsgate Revealed the Limits of Fine-Tuning in Machine Learning
In September 2024, Lionsgate announced a partnership with AI video company Runway to fine-tune a machine learning model on the studio’s...
Machine Learning in Healthcare: AI Scribes and Heart Disease Screening
How ambient AI scribes turn doctor-patient conversations into clinical notes, and how a University of Michigan model detects hidden heart disease...
Machine Learning in the NBA: Player Tracking and Injury Prevention
Every NBA arena has cameras mounted in the catwalks that track every player and the ball at 25 frames per second....
Strike Zone Prediction Model: How Neural Networks Analyze MLB Statcast Data
Baseball has always been a numbers game. Batting averages, earned run averages, and RBIs have been part of the sport for...
How Formula 1 Teams Use Machine Learning to Win Races
In Formula 1, milliseconds decide races. The cars generate massive amounts of data, around 400 GB per race from sensors tracking...
Machine Learning in Sports: How AI Predicts NFL Tackles
This is the first post in the “ML in the Wild” series, where we look at specific machine learning applications in...
Because It’s Friday: Claude Has Feelings About This
Anthropic’s interpretability team just published a paper on why LLMs sometimes act like they have emotions. The answer turned out to...
Because It’s Friday: The Science of Optimal Laziness
In 2022, two researchers published a paper modeling the mathematically ideal amount of effort to exert when you don’t want to...
Because It’s Friday: On Missing Data Sets
Mimi Onuoha is an artist and researcher who keeps a running list of data that should exist but doesn’t: poverty statistics...
Because it’s Friday: Your AI Slop Bores Me
A 17-year-old in Puducherry, India built a fake AI chatbot in March 2026. It’s a text box where real humans answer...
Because it’s Friday: A Million Random Digits
In 1955, the RAND Corporation published a book called “A Million Random Digits with 100,000 Normal Deviates.” This is exactly what...
Because It’s Friday: The Music Video Where Physics Wrote the Song
The universe arranges itself into patterns, completely invisible, right in front of us. Every so often someone finds a way to...
How I Vibe Coded an AI Assistant for My Blog in One Weekend
Last weekend I built an AI assistant for this blog in about a day, using roughly five dollars of cloud services...
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