Machine learning
Kevin P. Murphy
Reading Time
at 250 WPM18h 24m
The average reader, reading at a speed of 250 WPM, would take 18h 24m to read Machine learning.
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37
days at 30 min/day
1104
total minutes
Machine learning
by Kevin P. Murphy, Kevin P. Murphy
Published
2012
Publisher
MIT Press
Pages
1104
ISBN-13
9780262306164
Description
"This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package--PMTK (probabilistic modeling toolkit)--that is freely available online"--Back cover.
Subjects
The Firm
A Mind to Murder
The Black Swan
Fooled by randomness
Introduction to Probability and Statistics
Introductory statistics for the behavioral sciences
Frequently Asked Questions
How many pages are in Machine learning?
This edition of Machine learning has approximately 1104 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 Machine learning?
For most readers, Machine learning typically takes between 23h 0m and 15h 20m to complete. This is based on the book's length of approximately 276,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 18h 24m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 37 days • Estimated word count: 276,000 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 Machine learning?
The estimated word count for Machine learning is approximately 276,000 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 Machine learning?
Machine learning was written by Kevin P. Murphy, Kevin P. Murphy.
When was Machine learning published?
The publication date for this specific edition is 2012. The original work may have been published on a different date.