Machine Learning for Beginners, Part 8 – Support Vector Machine

In a February 6 blog, I discussed the unsupervised machine learning Naive Bayes algorithm with an example that was hopefully easy to understand for beginners. During the summer of 2017, I began a five-part series on types of machine learning. That series included more details about k-Nearest neighbor, K-means clustering, Singular Value Decomposition, Principal Component Analysis, Apriori, Frequent Pattern-Growth and more. Today I want to expand on the ideas presented in my Support Vector "Data Science in 90 Seconds" YouTube video and continue the discussion in plain language. If you recall from earlier discussions, supervised machine learning is the'task of inferring a function to describe hidden structure from labeled data'.