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Computational Learning Approaches to Data Analytics in Biomedical Applications ebook

Name: Computational Learning Approaches to Data Analytics in Biomedical Applications ebook
SKU: GC-3586546891
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Original price was: $120.00.Current price is: $42.00.

Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis using varied machine learning and statistical techniques. It presents insights on biomedical data processing, innovative clustering algorithms and techniques, and connections between statistical analysis and clustering. The book introduces and discusses the major problems relating to data analytics, provides a review of influential and state-of-the-art learning algorithms for biomedical applications, reviews cluster validity indices and how to select the appropriate index, and includes an overview of statistical methods that can be applied to increase confidence in the clustering framework and analysis of the results obtained. Includes an overview of data analytics in biomedical applications and current challengesUpdates on the latest research in supervised learning algorithms and applications, clustering algorithms and cluster validation indicesProvides complete coverage of computational and statistical analysis tools for biomedical data analysisPresents hands-on training on the use of Python libraries, MATLAB tools, WEKA, SAP-HANA and R/BioconductorProduct details Page Numbers Source ISBN: 0128144823 Publisher: Academic Press; 1 edition (November 20, 2019) Publication Date: November 20, 2019

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Computational Learning Approaches to Data Analytics in Biomedical Applications ebook

$80.00

Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis using varied machine learning and statistical techniques. It presents insights on biomedical data processing, innovative clustering algorithms and techniques, and connections between statistical analysis and clustering. The book introduces and discusses the major problems relating to data analytics, provides a review of influential and state-of-the-art learning algorithms for biomedical applications, reviews cluster validity indices and how to select the appropriate index, and includes an overview of statistical methods that can be applied to increase confidence in the clustering framework and analysis of the results obtained.Includes an overview of data analytics in biomedical applications and current challenges Updates on the latest research in supervised learning algorithms and applications, clustering algorithms and cluster validation indices Provides complete coverage of computational and statistical analysis tools for biomedical data analysis Presents hands-on training on the use of Python libraries, MATLAB� tools, WEKA, SAP-HANA and R/Bioconductor Computational Learning Approaches to Data Analytics in Biomedical Applications is written by Khalid Al-Jabery; Tayo Obafemi-Ajayi; Gayla Olbricht; Donald Wunsch and published by Academic Press. ISBNs for Computational Learning Approaches to Data Analytics in Biomedical Applications are 9780128144831, 0128144831 and the print ISBNs are 9780128144824, 0128144823.

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USPS

The choice of carrier is determined by factors such as destination, weight, and delivery timeframe to provide optimal service.

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Free shipping is provided for all orders over $199.
Orders under $199 will incur a flat-rate shipping fee of $7.99.
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Estimated Delivery Time

Shipping Restrictions

Tracking Your Order

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How to Return or Exchange an Item

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Contact our customer support at [email protected] with your order number and reason for return or exchange.
Our team will respond within 24 hours to provide detailed instructions, including the specific Return Address for your shipment.
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Return shipments should be sent to: Blanq LLC 1201 South Hope Street Apt 2413, Los Angeles, CA 90015, USA

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Items returned without prior authorization or not meeting the above conditions may not qualify for a refund or exchange.

Return Shipping Costs

Non-Returnable Items

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Payment Security

Zetlly does not store any credit card or sensitive financial information directly on our servers, further enhancing the security and protection of your personal data.

Payment Process and Confirmation

Please retain this confirmation email for your records and reference in case of any inquiries or disputes.

Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis using varied machine learning and statistical techniques.

It presents insights on biomedical data processing, innovative clustering algorithms and techniques, and connections between statistical analysis and clustering. The book introduces and discusses the major problems relating to data analytics, provides a review of influential and state-of-the-art learning algorithms for biomedical applications, reviews cluster validity indices and how to select the appropriate index, and includes an overview of statistical methods that can be applied to increase confidence in the clustering framework and analysis of the results obtained.Includes an overview of data analytics in biomedical applications and current challenges Updates on the latest research in supervised learning algorithms and applications, clustering algorithms and cluster validation indices Provides complete coverage of computational and statistical analysis tools for biomedical data analysis Presents hands-on training on the use of Python libraries, MATLAB� tools, WEKA, SAP-HANA and R/Bioconductor Computational Learning Approaches to Data Analytics in Biomedical Applications is written by Khalid Al-Jabery; Tayo Obafemi-Ajayi; Gayla Olbricht; Donald Wunsch and published by Academic Press. ISBNs for Computational Learning Approaches to Data Analytics in Biomedical Applications are 9780128144831, 0128144831 and the print ISBNs are 9780128144824, 0128144823.