It takes the average reader 3 hours and 47 minutes to read Robust Representation for Data Analytics by Sheng Li
Assuming a reading speed of 250 words per minute. Learn more
This book introduces the concepts and models of robust representation learning, and provides a set of solutions to deal with real-world data analytics tasks, such as clustering, classification, time series modeling, outlier detection, collaborative filtering, community detection, etc. Three types of robust feature representations are developed, which extend the understanding of graph, subspace, and dictionary. Leveraging the theory of low-rank and sparse modeling, the authors develop robust feature representations under various learning paradigms, including unsupervised learning, supervised...
Robust Representation for Data Analytics by Sheng Li is 224 pages long, and a total of 56,896 words.
This makes it 76% the length of the average book. It also has 70% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 10 minutes to read Robust Representation for Data Analytics aloud.
Robust Representation for Data Analytics 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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