How Long to Read Tensor Computation for Data Analysis

By Yipeng Liu

How Long Does it Take to Read Tensor Computation for Data Analysis?

It takes the average reader 5 hours and 56 minutes to read Tensor Computation for Data Analysis by Yipeng Liu

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

Description

Tensor is a natural representation for multi-dimensional data, and tensor computation can avoid possible multi-linear data structure loss in classical matrix computation-based data analysis. This book is intended to provide non-specialists an overall understanding of tensor computation and its applications in data analysis, and benefits researchers, engineers, and students with theoretical, computational, technical and experimental details. It presents a systematic and up-to-date overview of tensor decompositions from the engineer's point of view, and comprehensive coverage of tensor...

How long is Tensor Computation for Data Analysis?

Tensor Computation for Data Analysis by Yipeng Liu is 347 pages long, and a total of 89,179 words.

This makes it 117% the length of the average book. It also has 109% more words than the average book.

How Long Does it Take to Read Tensor Computation for Data Analysis Aloud?

The average oral reading speed is 183 words per minute. This means it takes 8 hours and 7 minutes to read Tensor Computation for Data Analysis aloud.

What Reading Level is Tensor Computation for Data Analysis?

Tensor Computation for Data Analysis 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 Tensor Computation for Data Analysis?

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