Computational Learning Approaches to Data Analytics in Biomedical Applications is popular PDF and ePub book, written by Khalid Al-Jabery in 2019-11-20, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Computational Learning Approaches to Data Analytics in Biomedical Applications can be Read Online from any device for your convenience.
Computational Learning Approaches to Data Analytics in Biomedical Applications Book PDF Summary
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
Detail Book of Computational Learning Approaches to Data Analytics in Biomedical Applications PDF
- Author : Khalid Al-Jabery
- Release : 20 November 2019
- Publisher : Academic Press
- ISBN : 9780128144831
- Genre : Technology & Engineering
- Total Page : 312 pages
- Language : English
- PDF File Size : 14,6 Mb
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