Machine Learning with R: K Nearest Neighbor (KNN), Linear Regression, and Text Mining Video
- Learn about the three components of every machine learning algorithm: Representation, Evaluation, and Optimization. Representation includes decision trees, graphical models, neural networks, support vector machines, and model ensembles. Evaluation includes accuracy, squared error, posterior probability, and entropy. Optimization includes combinatorial, convex, and constrained optimization.
- Learn about the types of machine learning algorithms, including supervised (inductive) learning, unsupervised learning, semi-supervised learning, and reinforcement learning.
- Explore the K Nearest Neighbor (K-NN) algorithm in detail.
- Learn all about linear regression and text mining.
Instructor: Zanis Khan
Length: 1 hour
Access period: For one year starting from purchase date