How Long to Read An Elementary Introduction to Statistical Learning Theory

How Long Does it Take to Read An Elementary Introduction to Statistical Learning Theory?

It takes the average reader 4 hours and 57 minutes to read An Elementary Introduction to Statistical Learning Theory by Sanjeev Kulkarni

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

Description

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory. Explaining these areas at a level and in a way that is not often found in other books on the topic, the authors present the basic theory behind contemporary machine learning and uniquely utilize its foundations as a framework for philosophical thinking about inductive inference. Promoting the fundamental goal of statistical learning, knowing what is achievable and what is not, this book demonstrates the value of a systematic methodology when used along with the needed techniques for evaluating the performance of a learning system. First, an introduction to machine learning is presented that includes brief discussions of applications such as image recognition, speech recognition, medical diagnostics, and statistical arbitrage. To enhance accessibility, two chapters on relevant aspects of probability theory are provided. Subsequent chapters feature coverage of topics such as the pattern recognition problem, optimal Bayes decision rule, the nearest neighbor rule, kernel rules, neural networks, support vector machines, and boosting. Appendices throughout the book explore the relationship between the discussed material and related topics from mathematics, philosophy, psychology, and statistics, drawing insightful connections between problems in these areas and statistical learning theory. All chapters conclude with a summary section, a set of practice questions, and a reference sections that supplies historical notes and additional resources for further study. An Elementary Introduction to Statistical Learning Theory is an excellent book for courses on statistical learning theory, pattern recognition, and machine learning at the upper-undergraduate and graduate levels. It also serves as an introductory reference for researchers and practitioners in the fields of engineering, computer science, philosophy, and cognitive science that would like to further their knowledge of the topic.

How long is An Elementary Introduction to Statistical Learning Theory?

An Elementary Introduction to Statistical Learning Theory by Sanjeev Kulkarni is 288 pages long, and a total of 74,304 words.

This makes it 97% the length of the average book. It also has 91% more words than the average book.

How Long Does it Take to Read An Elementary Introduction to Statistical Learning Theory Aloud?

The average oral reading speed is 183 words per minute. This means it takes 6 hours and 46 minutes to read An Elementary Introduction to Statistical Learning Theory aloud.

What Reading Level is An Elementary Introduction to Statistical Learning Theory?

An Elementary Introduction to Statistical Learning Theory 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 An Elementary Introduction to Statistical Learning Theory?

An Elementary Introduction to Statistical Learning Theory by Sanjeev Kulkarni 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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