Mathematical Data Science with Applications in Business, Industry, and Medicine
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Book Overview Mathematical data science is a field that combines mathematical techniques with data science methods to extract insights and knowledge fr...
Mathematical data science is a field that combines mathematical techniques with data science methods to extract insights and knowledge from data. It involves working with data at all stages of the data lifecycle, from collection and storage to cleansing and processing, the analysis and visualization of data, and the communication of the results and findings. Data scientists use a variety of tools and techniques to analyze data, including mathematical concepts and models, artificial intelligence techniques, machine learning algorithms, statistical analysis, and data visualization. Furthermore, data science can be used to make predictions, identify patterns, and draw conclusions from data, and it is applied in a variety of areas, including business, industry, and medicine. It is a rapidly evolving field, and data scientists are expected to stay up to date with new tools, techniques, and technologies. This Reprint is a collection of articles on a wide range of topics in the field of mathematical data science, with applications in business, industry, and medicine. The proposed methods and concepts are discussed in detail and illustrated with several real-life data examples.
Book Details Format: Hardcover | Pages: 242 | Language: English | Publisher: MDPI AG | ISBN: 3725827419
FormatHardcover
Pages242
LanguageEnglish
ISBN3725827419
EAN9783725827411
PublisherMDPI AG
Publication Date1970-01-01
AccessoriesNo Accessory
ConditionNew
Product TypeHARD COVER BOOKS
Weight1.63 Pounds
Length9.61 Inches
Width6.69 Inches
Height0.75 Inches
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