Machine Learning - Die Referenz

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 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, and moreMetrics for regression evaluationClusteringDimensionality reductionScikit-learn pipelines

Genres: Programming, Computer Science, Reference, Artificial Intelligence, Nonfiction

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Reviews

[Fabio Ismerim Ismerim · Rating 5 out of 5]

de fato, um guia para que você possa relembrar alguma técnica ou algoritmo específico de machine learning com paython.

Contempla um pipeline end-to-end para resolução de um problema utilizando machine learning.

Tenho ele na minha mesa de trabalho