Whats Really Going On in Machine Learning? Some Minimal Models
What is Machine Learning? A Comprehensive Guide for Beginners Caltech It’s also used to reduce the number of features in a model through the process of dimensionality reduction. Principal component analysis (PCA) and singular value decomposition (SVD) are two common approaches for this. Other algorithms used in unsupervised learning include neural networks, k-means clustering, and […]
