It takes the average reader 8 hours and 17 minutes to read Machine Learning with SVM and Other Kernel Methods by K.P. Soman
Assuming a reading speed of 250 words per minute. Learn more
Support vector machines (SVMs) represent a breakthrough in the theory of learning systems. It is a new generation of learning algorithms based on recent advances in statistical learning theory. Designed for the undergraduate students of computer science and engineering, this book provides a comprehensive introduction to the state-of-the-art algorithm and techniques in this field. It covers most of the well known algorithms supplemented with code and data. One Class, Multiclass and hierarchical SVMs are included which will help the students to solve any pattern classification problems with...
Machine Learning with SVM and Other Kernel Methods by K.P. Soman is 486 pages long, and a total of 124,416 words.
This makes it 164% the length of the average book. It also has 152% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 11 hours and 19 minutes to read Machine Learning with SVM and Other Kernel Methods aloud.
Machine Learning with SVM and Other Kernel Methods 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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