It takes the average reader 2 hours and 14 minutes to read Mathematical Theories of Machine Learning - Theory and Applications by Bin Shi
Assuming a reading speed of 250 words per minute. Learn more
This book studies mathematical theories of machine learning. The first part of the book explores the optimality and adaptivity of choosing step sizes of gradient descent for escaping strict saddle points in non-convex optimization problems. In the second part, the authors propose algorithms to find local minima in nonconvex optimization and to obtain global minima in some degree from the Newton Second Law without friction. In the third part, the authors study the problem of subspace clustering with noisy and missing data, which is a problem well-motivated by practical applications data...
Mathematical Theories of Machine Learning - Theory and Applications by Bin Shi is 133 pages long, and a total of 33,649 words.
This makes it 45% the length of the average book. It also has 41% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 3 hours and 3 minutes to read Mathematical Theories of Machine Learning - Theory and Applications aloud.
Mathematical Theories of Machine Learning - Theory and Applications is suitable for students ages 10 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.
Mathematical Theories of Machine Learning - Theory and Applications by Bin Shi is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.
To buy Mathematical Theories of Machine Learning - Theory and Applications by Bin Shi on Amazon click the button below.
Buy Mathematical Theories of Machine Learning - Theory and Applications on Amazon