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Authors Chanchal Chatterjee and Vwani P. Roychowdhury begin by introducing a common framework for creating adaptive algorithms, and demonstrating how to use it to address various streaming data issues. Examples range from using matrix functions to solve machine learning and data analysis problems to more critical edge computation problems. They handle time-varying, non-stationary data with minimal compute, memory, latency, and bandwidth.
Upon finishing this book, you will have a solid understanding of how to solve adaptive machine learning and data analytics problems and be able to derive new algorithms for your own use cases. You will also come away with solutions to high volume time-varying data with high dimensionality in a low compute, low latency environment.
What You Will Learn
Apply adaptive algorithms to practical applications and examples
Understand the relevant data representation features and computational models for time-varying multi-dimensional data
Derive adaptive algorithms for mean, median, covariance, eigenvectors (PCA) and generalized eigenvectors with experiments on real data
Speed up your algorithms and put them to use on real-world stationary and non-stationary data
Master the applications of adaptive algorithms on critical edge device computation applications
Authors Chanchal Chatterjee and Vwani P. Roychowdhury begin by introducing a common framework for creating adaptive algorithms, and demonstrating how to use it to address various streaming data issues. Examples range from using matrix functions to solve machine learning and data analysis problems to more critical edge computation problems. They handle time-varying, non-stationary data with minimal compute, memory, latency, and bandwidth.
Upon finishing this book, you will have a solid understanding of how to solve adaptive machine learning and data analytics problems and be able to derive new algorithms for your own use cases. You will also come away with solutions to high volume time-varying data with high dimensionality in a low compute, low latency environment.
What You Will Learn
Apply adaptive algorithms to practical applications and examples
Understand the relevant data representation features and computational models for time-varying multi-dimensional data
Derive adaptive algorithms for mean, median, covariance, eigenvectors (PCA) and generalized eigenvectors with experiments on real data
Speed up your algorithms and put them to use on real-world stationary and non-stationary data
Master the applications of adaptive algorithms on critical edge device computation applications
Learn to use algorithms to solve machine learning and data analytics problems with low power and memory usage
Create new algorithms for real-time machine learning use cases
Implement code with adaptive algorithms for real world use cases
| Erscheinungsjahr: | 2022 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xxviii
269 S. 85 s/w Illustr. 269 p. 85 illus. |
| ISBN-13: | 9781484280164 |
| ISBN-10: | 1484280164 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Chatterjee, Chanchal |
| Auflage: | 1st edition |
| Hersteller: |
Apress
Apress L.P. |
| Verantwortliche Person für die EU: | APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com |
| Maße: | 235 x 155 x 17 mm |
| Von/Mit: | Chanchal Chatterjee |
| Erscheinungsdatum: | 13.03.2022 |
| Gewicht: | 0,458 kg |
Learn to use algorithms to solve machine learning and data analytics problems with low power and memory usage
Create new algorithms for real-time machine learning use cases
Implement code with adaptive algorithms for real world use cases
| Erscheinungsjahr: | 2022 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xxviii
269 S. 85 s/w Illustr. 269 p. 85 illus. |
| ISBN-13: | 9781484280164 |
| ISBN-10: | 1484280164 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Chatterjee, Chanchal |
| Auflage: | 1st edition |
| Hersteller: |
Apress
Apress L.P. |
| Verantwortliche Person für die EU: | APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com |
| Maße: | 235 x 155 x 17 mm |
| Von/Mit: | Chanchal Chatterjee |
| Erscheinungsdatum: | 13.03.2022 |
| Gewicht: | 0,458 kg |
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