How long does it take to read Understanding Machine Learning?
From Theory to Algorithms
Shai Shalev-Shwartz, Shai Ben-David
Understanding Machine Learning by Shai Shalev-Shwartz, Shai Ben-David takes about 7 hours 31 minutes to read at 250 words a minute.
About 7 hours 31 minutes
A weekend read
First published 2014. 410 pages, about 112,750 words.
16 days at 30 minutes a day
Estimate based on 275 words per page.
At other speeds
| Slow, 150 words a minute | 12 hours 32 minutes |
| Average, 250 words a minute | 7 hours 31 minutes |
| Fast, 400 words a minute | 4 hours 42 minutes |
The page count is the median across 4 editions, so your copy may differ. How we calculate.
About the book
"Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics, and engineering"--
Subjects: Machine learning, Algorithms, COMPUTERS, Computer Vision & Pattern Recognition, Maschinelles Lernen
