Machine Learning for Humans Machine learning concepts and techniques, explained with simple language and visualizations. Edit Course Introduction Purpose Tools What is Machine Learning? Foundations Describe the world What is Data? Find the edges Find the center Measure error Groups - clusters Probability and uncertainty Supervised or unsupervised? Visualization Intro Scatterplot Supervised Learning Nearest Neigbors Classification Tree Linear Regression Logistic Regression Unsupervised Learning K-Means Clustering Appendix Further Learning Edit Metadata Hidden category: CourseRoot
