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Condition: good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.
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Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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Adaptive Machine Learning Algorithms with Python: Solve Data Analytics and Machine Learning Problems on Edge Devices
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Adaptive Machine Learning Algorithms with Python: Solve Data Analytics and Machine Learning Problems on Edge Devices
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Data Analytics and Adaptive Learning : Research Perspectives
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Data Analytics and Adaptive Learning : Research Perspectives
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Data Analytics and Adaptive Learning
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Data Analytics and Adaptive Learning: Research Perspectives
Language: English
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032154705 ISBN 13: 9781032154701
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Data Analytics and Adaptive Learning: Research Perspectives
Language: English
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032154705 ISBN 13: 9781032154701
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Add to basketPaperback. Condition: Brand New. 320 pages. 9.00x6.00x0.82 inches. In Stock.
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Data Analytics and Adaptive Learning: Research Perspectives
Language: English
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032154705 ISBN 13: 9781032154701
Condition: New. 2023. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
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Taschenbuch. Condition: Neu. Adaptive Machine Learning Algorithms with Python | Solve Data Analytics and Machine Learning Problems on Edge Devices | Chanchal Chatterjee | Taschenbuch | xxviii | Englisch | 2022 | Apress | EAN 9781484280164 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Data Analytics and Adaptive Learning | Research Perspectives | Patsy D. Moskal (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Routledge | EAN 9781032154701 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 300 | Sprache: Englisch | Produktart: Bücher | 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 LearnApply adaptive algorithms to practical applications and examplesUnderstand the relevant data representation features and computational models for time-varying multi-dimensional dataDerive adaptive algorithms for mean, median, covariance, eigenvectors (PCA) and generalized eigenvectors with experiments on real dataSpeed up your algorithms and put them to use on real-world stationary and non-stationary dataMaster 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.
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Data Analytics and Adaptive Learning : Research Perspectives
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