Adaptive Machine Learning Algorithms with Python : Solve Data Analytics and Machine Learning Problems on Edge Devices
Language: English
Published by Apress, 2022
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 56.90
Quantity: 1 available
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Seller Inventory # 9781484280164
- Title
- Adaptive Machine Learning Algorithms with Python : Solve Data Analytics and Machine Learning Problems on Edge Devices
- Author
- Chanchal Chatterjee
- Publisher
- Apress
- Publication year
- 2022
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1484280164
- ISBN 13
- 9781484280164
- Item weight
- 458 grams
- Dimensions
- 235x155x17 mm
Learn to use adaptive algorithms to solve real-world streaming data problems. This book covers a multitude of data processing challenges, ranging from the simple to the complex. At each step, you will gain insight into real-world use cases, find solutions, explore code used to solve these problems, and create new algorithms for your own use.
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
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
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| Item | 5 to 7 business days | 7 to 10 business days |
|---|---|---|
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