Tag Machine Learning

Machine Learning tutorials

Types of Neural Networks

Types of Neural Networks
A neural network is a subset of machine learning that mimics the workings of a human brain while solving a complex problem based on deep learning. Neural networks are inspired by neurons found in the human brain. In this article,…

Kernel PCA in Machine Learning

Kernel PCA in Machine Learning
Kernel PCA is one of the variations of principal component analysis in machine learning that uses kernel methods to perform the initially linear operations of principal component analysis. In this article, I will take you through an introduction to Kernel…

Sparse PCA in Machine Learning

Sparse PCA in Machine Learning
Principal Component Analysis (PCA) is a dimensionality reduction algorithm used to reduce the dimensionality of a dataset. Sparse PCA is one variation of PCA that can exploit the natural sparsity of data while extracting the principal components. In this article,…