Dimensionality Reduction

Machine Learning Metrics in Dimensionality Reduction: From Theory to Practice, Simplified!

January 2, 2024 Machine Learning, Model Evaluation

Abstract visualization of machine learning dimensionality reduction: glowing data points transitioning from 3D complexity to 2D simplicity, with vibrant clusters and geometric shapes symbolizing algorithms like PCA and t-SNE.

Introduction: Why Does Dimensionality Reduction Matter? Imagine you’re in a cluttered room and need to keep only the essentials. Dimensionality reduction is like spring cleaning for data! When datasets have…

How to Evaluate Machine Learning Models: From Prediction to Clustering

August 10, 2023 Machine Learning, Model Evaluation

Visual comparison of machine learning evaluation metrics: regression vs. classification vs. clustering with examples like MSE, accuracy, and Silhouette Score.

Machine Learning (ML) is everywhere these days, from predicting house prices to diagnosing diseases! But when we build a model, how do we know if it’s actually performing well? This…