It takes the average reader 9 hours and 53 minutes to read First-order and Stochastic Optimization Methods for Machine Learning by Guanghui Lan
Assuming a reading speed of 250 words per minute. Learn more
This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms. In spite of the intensive research and development in this area, there does not exist a systematic treatment to introduce the fundamental concepts and recent progresses on machine learning algorithms, especially on those based on stochastic optimization methods, randomized algorithms, nonconvex optimization, distributed and online learning, and projection free methods. This book will benefit the broad audience in the area of machine learning, artificial intelligence and mathematical programming community by presenting these recent developments in a tutorial style, starting from the basic building blocks to the most carefully designed and complicated algorithms for machine learning.
First-order and Stochastic Optimization Methods for Machine Learning by Guanghui Lan is 591 pages long, and a total of 148,341 words.
This makes it 199% the length of the average book. It also has 181% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 13 hours and 30 minutes to read First-order and Stochastic Optimization Methods for Machine Learning aloud.
First-order and Stochastic Optimization Methods for 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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