You were probably supposed to be working on that feature ticket you promised your PM three sprints ago. But here you are, elbow-deep in convolutional layers, trying to make your…
If you've been wandering the wilds of machine learning long enough, you've probably run into the acronym SVM. Maybe you nodded along in that one meeting, pretending to know what…
In the previous blog on Ensemble Learning Explained, we explored the world of ensemble learning and how combining multiple models can often outperform even the most finely tuned single model.…
When you hear "ensemble," you might think of a band — a bunch of musicians, each playing their own instrument, somehow coming together to make magic. Machine learning borrows that…
Imagine you're learning to play the guitar. Instead of figuring everything out from scratch, you watch an experienced musician, follow their techniques, and build upon their skills. That’s exactly how…
Ever felt like your model’s nearly perfect but needs that little extra "boost"? Your model is not too bad to be thrown away in trash but also not good enough…
In the previous guide on Support Vector Machines, we understood the basic implementation and functioning of the machine learning classifier. In this post, I’ll walk you through three practical examples…
When we talk about classification problems, the basic machine learning model that we would generally prefer is logistic regression. It is simple to implement and performs well on large datasets.…
YOLO (You Only Look Once) has long been a popular machine learning model for real-time object detection, offering an impressive balance between speed and accuracy. Since its existence, the model…
A machine learning model learns over the data it is trained and should be able to generalize well over it. When a new data sample is introduced, the model should…
