Linear Algebra for Machine Learning book

Each of the five tribes of machine learning has its own master algorithm, a general-purpose learner that you can in principle use to discover knowledge from data in any domain. The symbolists’ master algorithm is inverse deduction, the connectionists’ is backpropagation, the evolutionaries’ is genetic programming, the Bayesians’ is Bayesian inferen

logistic regression, K-nearest neighbors, support vector machine (SVM), decision trees, random forests, and so on. How can a data scientist possibly know which

This book’s first goal is to let you in on the secrets of machine learning. Only engineers and mechanics need to know how a car’s engine works, but every driver needs to know that turning the steering wheel changes the car’s direction and stepping on the brake brings it to a stop. Few people today know what the corresponding elements of a learner e