It takes the average reader 16 hours and 50 minutes to read Linear Algebra Tools For Data Mining (Second Edition) by Dan A Simovici
Assuming a reading speed of 250 words per minute. Learn more
This updated compendium provides the linear algebra background necessary to understand and develop linear algebra applications in data mining and machine learning.Basic knowledge and advanced new topics (spectral theory, singular values, decomposition techniques for matrices, tensors and multidimensional arrays) are presented together with several applications of linear algebra (k-means clustering, biplots, least square approximations, dimensionality reduction techniques, tensors and multidimensional arrays).The useful reference text includes more than 600 exercises and supplements, many with completed solutions and MATLAB applications.The volume benefits professionals, academics, researchers and graduate students in the fields of pattern recognition/image analysis, AI, machine learning and databases.
Linear Algebra Tools For Data Mining (Second Edition) by Dan A Simovici is 1,002 pages long, and a total of 252,504 words.
This makes it 338% the length of the average book. It also has 309% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 22 hours and 59 minutes to read Linear Algebra Tools For Data Mining (Second Edition) aloud.
Linear Algebra Tools For Data Mining (Second Edition) 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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