The Algorithm Zoo: A Human’s Guide to Machine Learning Models (No Math, Just Sanity)
A simple, high-level tour of major machine learning algorithms — what they do, when to use them, and how to remember them without a single equation.
✳ The notebook
Ideas, made a little clearer.
Engineering, leadership, and the human side of it all.
Find a thread that speaks to you, and follow it.
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Artificial Intelligence
1–9 of 9
Untangling the Buzzwords: AI, ML, GenAI, Neural Networks & Agents — Explained Simply
A simple, visual explanation of how all the pieces fit — from old-school AI to modern generative models, intelligent agents, and what’s coming next.
Neural Networks Explained (Without the Math Headache)
A simple, visual way to understand how neural networks work — why they’re inspired by brains, powered by data, and guided by math.
The Prompt Whisperer: Talking to Machines Like They’re People (Because They Kind of Are)
Explains prompt engineering through humor — how LLMs behave like moody geniuses who just need the right phrasing to shine.
The Math Behind the Magic: Why AI Is Basically Just Fancy Guesswork
Demystifies neural networks and probabilities in plain English, showing how 'intelligence' often means 'the world’s most educated guess.'
AI, Meet Humanity: The Day Machines Start Asking Why
A speculative yet hopeful piece imagining when AI stops mimicking us — and starts challenging us.
The Lazy Genius: Why AI Teaches Us the Power of Not Knowing Everything
The smartest models don’t memorize everything — they predict what probably fits. Maybe that’s the secret humans forgot.
🧩 Vector Embeddings: How AI Finds Your Lost Thoughts
How AI turns meaning into math — a whimsical look at vector embeddings, the secret map behind how AI connects your ideas, from tacos to joy.
🤖 Why Your AI Is Like a Confident Wrong Friend
Ever met someone who agrees with you a little *too much*? That’s your AI sometimes — charming, fast-talking, and occasionally very wrong, but always confident.