Adaptive machine learning algorithms with Python: solve data analytics and machine learning problems on edge devices
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,...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berkeley, CA
Apress
[2022]
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| Ausgabe: | 1st ed |
| Schlagworte: | |
| Zusammenfassung: | 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 applicationsWho This Book Is ForMachine learning engineers, data scientist and architects, software engineers and architects handling edge device computation and data management |
| Beschreibung: | xxviii, 269 Seiten Illustrationen, Diagramme 460 grams |
| ISBN: | 9781484280164 |
Internformat
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Datensatz im Suchindex
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| author | Chatterjee, Chanchal |
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| id | DE-604.BV048203270 |
| illustrated | Illustrated |
| index_date | 2024-07-03T19:47:14Z |
| indexdate | 2024-07-10T09:31:54Z |
| institution | BVB |
| isbn | 9781484280164 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033584225 |
| oclc_num | 1315745890 |
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| owner | DE-29T |
| owner_facet | DE-29T |
| physical | xxviii, 269 Seiten Illustrationen, Diagramme 460 grams |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Apress |
| record_format | marc |
| spelling | Chatterjee, Chanchal Verfasser (DE-588)1147670544 aut Adaptive machine learning algorithms with Python solve data analytics and machine learning problems on edge devices Chanchal Chatterjee 1st ed Berkeley, CA Apress [2022] © 2022 xxviii, 269 Seiten Illustrationen, Diagramme 460 grams txt rdacontent n rdamedia nc rdacarrier 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 applicationsWho This Book Is ForMachine learning engineers, data scientist and architects, software engineers and architects handling edge device computation and data management bicssc bisacsh Artificial intelligence Python (Computer program language) Machine learning Hardcover, Softcover / Informatik, EDV/Informatik Erscheint auch als Online-Ausgabe 978-1-4842-8017-1 |
| spellingShingle | Chatterjee, Chanchal Adaptive machine learning algorithms with Python solve data analytics and machine learning problems on edge devices bicssc bisacsh Artificial intelligence Python (Computer program language) Machine learning |
| title | Adaptive machine learning algorithms with Python solve data analytics and machine learning problems on edge devices |
| title_auth | Adaptive machine learning algorithms with Python solve data analytics and machine learning problems on edge devices |
| title_exact_search | Adaptive machine learning algorithms with Python solve data analytics and machine learning problems on edge devices |
| title_exact_search_txtP | Adaptive machine learning algorithms with Python solve data analytics and machine learning problems on edge devices |
| title_full | Adaptive machine learning algorithms with Python solve data analytics and machine learning problems on edge devices Chanchal Chatterjee |
| title_fullStr | Adaptive machine learning algorithms with Python solve data analytics and machine learning problems on edge devices Chanchal Chatterjee |
| title_full_unstemmed | Adaptive machine learning algorithms with Python solve data analytics and machine learning problems on edge devices Chanchal Chatterjee |
| title_short | Adaptive machine learning algorithms with Python |
| title_sort | adaptive machine learning algorithms with python solve data analytics and machine learning problems on edge devices |
| title_sub | solve data analytics and machine learning problems on edge devices |
| topic | bicssc bisacsh Artificial intelligence Python (Computer program language) Machine learning |
| topic_facet | bicssc bisacsh Artificial intelligence Python (Computer program language) Machine learning |
| work_keys_str_mv | AT chatterjeechanchal adaptivemachinelearningalgorithmswithpythonsolvedataanalyticsandmachinelearningproblemsonedgedevices |