Entry #2A: Designing Learning Problems
Feb 2 · 4 min read · I hit pause five minutes into Lecture 2 of CS230. Kian was already deep into a case study on day/night classification, but my notes were filling up with question marks. Not about the code—about the premise. The lecture assumed I already understood wh...
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Module 2: The Decision Process
Dec 25, 2025 · 19 min read · We have established that W is a measure of how important X is to our final decision. In the scenario we ran in module 1, I manually assigned the weights since we were only dealing with 2 inputs. Imagine we were dealing with hundreds of thousands of i...
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The Simplest Algorithm You Can Think About: KNN
Sep 6, 2025 · 9 min read · Introduction When people hear machine learning, they often imagine massive neural networks powering self-driving cars or chatbots like ChatGPT. But the journey doesn’t start with deep learning — it starts with something much simpler. In fact, one of ...
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Demystifying Convolutional Neural Networks: The Brains Behind Computer Vision
Aug 24, 2025 · 6 min read · Introduction As we delve deeper into machine learning, we encounter tasks that require machines not just to make decisions, but to “see.” This is where Convolutional Neural Networks (CNNs) come into play, a specialized subset of deep learning models ...
Join discussionHow Neural Networks Tackle Regression, Multiclass, and Multilabel Problems
Aug 6, 2025 · 5 min read · Neural networks are like pro gamers — they can play different games with the same brain.The rules change depending on the game, but the process is always: Guess → Check → Learn → Try Again. Here’s the ultimate side-by-side so you can see exactly ho...
Join discussionDeep Learning for Coders with fastai and PyTorch: My Journey Through Chapters 4–7
Aug 6, 2025 · 8 min read · When you first see a deep learning model recognize a cat or a handwritten number, it feels like magic. But in Deep Learning for Coders with fastai and PyTorch, Chapters 4–7 take you from that magic moment to fully understanding how it works under the...
Join discussionMachine Learning Fundamentals
May 30, 2025 · 6 min read · Once a shadowy realm within academic circles and research papers, Machine Learning (ML) has emerged as a driving force behind today's technological marvels. From the helpful voices of our smart assistants to the vigilant eyes of fraud detection syste...
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Mean Absolute Error (MAE): The "No Drama" Loss Function
Apr 25, 2025 · 9 min read · Today, we're diving into Mean Absolute Error (MAE) - the straightforward, no-nonsense member of the loss function family. The Problem with MBE (A Quick Recap) Remember how MBE tells us if our model is an optimist or pessimist? Well, that's useful, bu...
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Understanding Mean Bias Error in Machine Learning
Apr 3, 2025 · 6 min read · Introduction Welcome to the first installment of our "ML Fundamentals: Loss Functions" series! Today, we're diving into Mean Bias Error (MBE), the unsung hero of bias detection in machine learning models. When building machine learning models, partic...
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