How Long to Read A Probabilistic Theory of Pattern Recognition

How Long Does it Take to Read A Probabilistic Theory of Pattern Recognition?

It takes the average reader 11 hours and 19 minutes to read A Probabilistic Theory of Pattern Recognition by Luc Devroye

Assuming a reading speed of 250 words per minute. Learn more

Description

A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further the readers understanding. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.

How long is A Probabilistic Theory of Pattern Recognition?

A Probabilistic Theory of Pattern Recognition by Luc Devroye is 658 pages long, and a total of 169,764 words.

This makes it 222% the length of the average book. It also has 207% more words than the average book.

How Long Does it Take to Read A Probabilistic Theory of Pattern Recognition Aloud?

The average oral reading speed is 183 words per minute. This means it takes 15 hours and 27 minutes to read A Probabilistic Theory of Pattern Recognition aloud.

What Reading Level is A Probabilistic Theory of Pattern Recognition?

A Probabilistic Theory of Pattern Recognition is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy A Probabilistic Theory of Pattern Recognition?

A Probabilistic Theory of Pattern Recognition by Luc Devroye is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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