It takes the average reader 8 hours and 2 minutes to read An Introduction to Pattern Recognition and Machine Learning by Paul Fieguth
Assuming a reading speed of 250 words per minute. Learn more
The domains of Pattern Recognition and Machine Learning have experienced exceptional interest and growth, however the overwhelming number of methods and applications can make the fields seem bewildering. This text offers an accessible and conceptually rich introduction, a solid mathematical development emphasizing simplicity and intuition. Students beginning to explore pattern recognition do not need a suite of mathematically advanced methods or complicated computational libraries to understand and appreciate pattern recognition; rather the fundamental concepts and insights, eminently teachable at the undergraduate level, motivate this text. This book provides methods of analysis that the reader can realistically undertake on their own, supported by real-world examples, case-studies, and worked numerical / computational studies.
An Introduction to Pattern Recognition and Machine Learning by Paul Fieguth is 481 pages long, and a total of 120,731 words.
This makes it 162% the length of the average book. It also has 148% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 10 hours and 59 minutes to read An Introduction to Pattern Recognition and Machine Learning aloud.
An Introduction to Pattern Recognition and Machine Learning 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.
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