Machine Learning Pocket Reference (häftad)
Format
E-bok
Filformat
EPUB med LCP-kryptering (0.0 MB)
Om LCP-kryptering
Nedladdning
Kan laddas ned under 24 månader, dock max 6 gånger.
Språk
Engelska
Antal sidor
320
Utgivningsdatum
2019-08-27
Förlag
O'Reilly Media
ISBN
9781492047490

Machine Learning Pocket Reference E-bok

Working with Structured Data in Python

E-bok (LCP),  Engelska, 2019-08-27
269
Läs i Bokus Reader för iOS och Android
Finns även som
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. Youll 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, and moreMetrics for regression evaluationClusteringDimensionality reductionScikit-learn pipelines

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