Sir Syed University of Engineering & Technology - Karachi, Pakistan
K-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. So in this workshop, we will be diving into our first Clustering Algorithm, more specifically K - Means. Let's explore this fun. RSVP Now ๐
Workshop 15 | Machine Learning: Zero to Hero
K-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster.
So in this workshop, we will be diving into our first Clustering Algorithm, more specifically K - Means. Let's explore this fun. RSVP Now ๐
Thursday, October 15, 2020
3:00 PM โ 4:30 PM UTC
Introduction to K - Means |
Exploring our Own Dataset |
Training ML Model |
Q/A |
Lenaar Digital
Co-founder
Sharp Edge
Media Creative Lead
Tech Lead
AI and Chatbot Developer | Full Stack Web | PAFLA Ambassador | Public Speaker | Trainer
Communications Lead
Softseek International
Operations Lead
Technology Links
Marketing Lead
ConciSafe
Event Management Lead
Content Writing Lead
HnH Soft Tech Solutions Pvt Ltd
Host
Contact Us