Machine Learning Pocket Reference
Machine Learning Pocket Reference With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. You'll also learn methods for…
Specifikacia Machine Learning Pocket Reference
Machine Learning Pocket Reference
With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. 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 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.
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