Leer libros Machine Learning Pocket Reference: A Quick Guide to
Structured Machine Learning Techniques
By Matt Harrison
With detailed notes, tables, and examples, this handy reference will help you
navigate the basics of structured machine learning. Author Matt Harrison delivers a
valuable guide that you can use for additional support during training and as a
convenient resource when you dive into your next machine learning project.Ideal for
programmers, data scientists, and AI engineers, this book includes an overview of the
machine learning process and walks you through classification with structured data.
You'll also learn methods for clustering, predicting a continuous value (regression),
and reducing dimensionality, among other topics.This pocket reference includes
sections that cover:Classification, using the Titanic datasetCleaning data and dealing
with missing dataExploratory data analysisCommon preprocessing steps using sample
dataSelecting features useful to the modelModel selectionMetrics and classification
evaluationRegression examples using k-nearest neighbor, decision trees, boosting,
