How long does it take to read Machine Learning?
Kevin P. Murphy
Machine Learning by Kevin P. Murphy takes about 20 hours 14 minutes to read at 250 words a minute.
About 20 hours 14 minutes
A long haul
First published 2012. 1,104 pages, about 303,600 words.
41 days (about 6 weeks) at 30 minutes a day
Estimate based on 275 words per page.
At other speeds
| Slow, 150 words a minute | 33 hours 44 minutes |
| Average, 250 words a minute | 20 hours 14 minutes |
| Fast, 400 words a minute | 12 hours 39 minutes |
The page count is the median across 4 editions, so your copy may differ. How we calculate.
About the book
"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: Probabilities, Machine learning, Probability, Apprentissage automatique, Probabilités, COMPUTERS
