The Elements of Statistical Learning
Trevor Hastie
Reading Time
at 250 WPM12h 25m
The average reader, reading at a speed of 250 WPM, would take 12h 25m to read The Elements of Statistical Learning.
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days at 30 min/day
745
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The Elements of Statistical Learning
by Trevor Hastie, Robert Tibshirani, Jerome Friedman
Published
2009
Publisher
Springer-Verlag New York
Pages
745
ISBN-13
9780387848570
Description
Describes important statistical ideas in machine learning, data mining, and bioinformatics. Covers a broad range, from supervised learning (prediction), to unsupervised learning, including classification trees, neural networks, and support vector machines.
Subjects
Supervised Machine Learning
Semi-supervised learning
Introduction to semi-supervised learning
Support Vector Machines Applications
Semi-supervised learning
The mathematics of generalization
Frequently Asked Questions
How many pages are in The Elements of Statistical Learning?
This edition of The Elements of Statistical Learning has approximately 745 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read The Elements of Statistical Learning?
For most readers, The Elements of Statistical Learning typically takes between 15h 31m and 10h 21m to complete. This is based on the book's length of approximately 186,250 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 12h 25m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 25 days • Estimated word count: 186,250 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of The Elements of Statistical Learning?
The estimated word count for The Elements of Statistical Learning is approximately 186,250 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of The Elements of Statistical Learning?
The Elements of Statistical Learning was written by Trevor Hastie, Robert Tibshirani, Jerome Friedman.
When was The Elements of Statistical Learning published?
The publication date for this specific edition is 2009. The original work may have been published on a different date.