#machine-learning

Articles tagged with #machine-learning

Neural Networks From Scratch
Understanding Learning Through Forward Propagation, Backpropagation, and Gradient Descent
Jun 22, 20267 min read14
What Happens At The End Of A Transformer
Ever wondered when LLMs are invoked what happens towards the end?
May 28, 20265 min read
Unveiling the Power of Support Vector Machines in Classification Tasks
Support Vector Machines (SVM) are among the most effective and widely used classification algorithms in machine learning. At its core, the SVM algorithm works by finding the optimal boundary—called a hyperplane—that best separates different classes i...
Jan 22, 202212 min read25
Boosting Machine Learning Adaboost Guide
Boosting is one of the most widely used classes of algorithms in machine learning, applied globally to tackle a variety of complex problems. It involves combining multiple weak learners—typically simple models that perform just slightly better than r...
Nov 17, 20216 min read34
Understanding the Sigmoid Function and Its Applications in Machine Learning
Let’s start with the basics—what exactly is the sigmoid function? The sigmoid function is a mathematical function commonly used in machine learning, especially in binary classification problems and neural networks. It’s defined by the formula: When ...
Sep 11, 20213 min read193