What Is Supervised Learning

What Is Supervised Learning?

Supervised learning involves data points which have been assigned a desired output value, either categorically (like red or blue) or continuously (such as house price or customer churn rate), such as redness or blueness. It can be applied both for classification and regression problems. With […]

What is Neural Network Machine Learning

What is Neural Network Machine Learning?

Neural networks, loosely inspired by human brain function, recognize patterns by labeling or clustering raw data. Over time, neural networks learn by gradually adjusting their adjustable weights until they can map input features correctly to output labels. This method is known as supervised learning. Any […]

What is Clustering in Machine Learning

What is Clustering in Machine Learning?

Clustering is a method for organizing data points with similar characteristics into clusters to help better understand it and make more accurate predictions. Distributed algorithms model clusters using complex statistical models like multivariate Gaussian mixture models in expectation-maximization algorithm, making their development both laborious and […]