It takes the average reader 2 hours and 39 minutes to read Spectral Learning on Matrices and Tensors by Majid Janzamin
Assuming a reading speed of 250 words per minute. Learn more
The authors of this monograph survey recent progress in using spectral methods including matrix and tensor decomposition techniques to learn many popular latent variable models. With careful implementation, tensor-based methods can run efficiently in practice, and in many cases they are the only algorithms with provable guarantees on running time and sample complexity. The focus is on a special type of tensor decomposition called CP decomposition, and the authors cover a wide range of algorithms to find the components of such tensor decomposition. They also discuss the usefulness of this decomposition by reviewing several probabilistic models that can be learned using such tensor methods. The second half of the monograph looks at practical applications. This includes using Tensorly, an efficient tensor algebra software package, which has a simple python interface for expressing tensor operations. It also has a flexible back-end system supporting NumPy, PyTorch, TensorFlow, and MXNet. Spectral Learning on Matrices and Tensors provides a theoretical and practical introduction to designing and deploying spectral learning on both matrices and tensors. It is of interest for all students, researchers and practitioners working on modern day machine learning problems.
Spectral Learning on Matrices and Tensors by Majid Janzamin is 156 pages long, and a total of 39,936 words.
This makes it 53% the length of the average book. It also has 49% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 3 hours and 38 minutes to read Spectral Learning on Matrices and Tensors aloud.
Spectral Learning on Matrices and Tensors 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.
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