The Unsung Hero - How Good Feature Engineering Outperforms Deep Models in Many Real-World Cases
In a world obsessed with deep learning and massive models, it’s easy to forget that sometimes, the real magic lies in the data — or more precisely, in how you shape it. You don’t always need a transformer or a GPU cluster to win. Many times, all you need is feature engineering done right.
What Recurrent Neural Networks Are Really Doing: A Simple Intuition
When you watch the stock market, you don’t just look at today’s price in isolation. You carry a memory: “The stock has been rising for the last few days,” or “The trend looks like it’s turning downward.”
Clarity Is Not Simplicity: How Real Work Demands Sharp Thought
When a technical report says: “We trained a neural network with 90% accuracy on the dataset.” it feels simple, clean, and reassuring. But when the report says: “We trained a feedforward neural network with
Automatic Differentiation Using Dual Numbers: A Clear and Intuitive Understanding
In modern machine learning and scientific computing, one requirement comes up again and again: computing derivatives accurately, efficiently, and automatically.
Neural Networks as Functions: Building the Right Intuition
When we first encounter neural networks, they often seem mysterious: a web of interconnected nodes, weights, and activations. But if we strip away all the complexity,