SVM
Artificial Intelligence
Support Vector Machines (SVM): An Intuitive Explanation Understanding SVM with an example dataset What Happens if the info will not be linearly classifiable? The Kernel Trick Regularization and...
Support Vector Machines (SVMs) are a sort of supervised machine learning algorithm used for classification and regression tasks. They're widely utilized in various fields, including pattern recognition, image evaluation, and natural language processing.SVMs work...
Artificial Intelligence
Top 10 Machine Learning Algorithms Every Programmer Should Know #1. Linear Regression: The Oldie but Goodie #2. Logistic Regression: It’s Not All About Numbers #3. Decision Trees:...
Boosting Your Method to SuccessImagine running a relay race. Each runner improves upon the previous one’s performance, and together, they win the race. That’s how these algorithms work — every latest model compensates for...
Artificial Intelligence
Face-Mask Detection using SVM — Intel oneAPI Optimised Scikit-Learn Library An easy explanation of how SVM works: Prerequisites: Installation of scikit-learn-intelex library: Dataset: Importing the Dataset and Converting it...
This model may also be implemented right into a computer vision model which may detect masks on a face in real-time.This project was showcased by (Myself) at organized by in partnership with , ,...
Recent posts
