Introduction Hey everyone! 👋I recently worked on an unsupervised machine learning project that focuses on clustering customers based on their purchase behavior using the Online Retail dataset. The goal was to segment customers so businesses can bett...
Virtualization is a game-changer for developers, hobbyists, and IT enthusiasts. It lets you run multiple operating systems on one machine, which is perfect for testing apps, hosting servers, or learning new tech. If you want to take it further, clust...
K-means 組內變異 $$\begin{aligned} \operatorname{W}(C_k)&:=\frac{1}{|C_k|}\sum_{i,i'\in{C_k}}\operatorname{D_{Euclidean}^2}(x_i,x_{i'}) \\ &=\frac{1}{n_{c_k}}\sum_{i,i'\in{C_k}}\sum_{j=1}^p(x_{i,j}-x_{i',j})^2 \\ &=2\times\sum_{i}^N\sum_{j=1}^p(x_{i,j}-\...
Hello folks , in this blog we will be exploring concepts that are most basic and foundation of Machine learning . Recently, I delved into the ML domain and came across these topics that form the backbone of this exciting field. Table of Contents . Wh...
Introduction: Why Clustering Matters for Banks Hey there, data science enthusiasts! Imagine you’re running a bank and need to decide which customers to target with a premium credit card offer versus a budget-friendly loan scheme. How do you make that...
[45] Introduction Machine learning is a subset of artificial intelligence, which provides systems/machines the ability to learn automatically & improve from experience without being explicitly programmed. It focuses mainly on the designing of systems...
~ Pre-requisites:There should be some tools installed on your machine before hand to follow along1. Terraform - For provisioning infrastructure on GCP (Google Cloud Platform)2. Ansible - For configuration management (Manually update the swarm service...
📝 Quick Summary: Faiss is a library for efficient similarity search and clustering of dense vectors. It supports various algorithms, including GPU-accelerated options, and offers a range of indexing structures to optimize for different performance ...
Introduction Clustering is a powerful unsupervised learning technique that helps in grouping data points with similar characteristics. Traditional algorithms like K-Means assume spherical clusters and fail to capture complex shapes in the data. Enter...
Introduction Clustering is a vital unsupervised learning technique used to group similar data points together. Unlike traditional algorithms like K-Means, which require the number of clusters to be predefined, Mean Shift Clustering is a non-parametri...
