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    Mathematical Analysis For Machine Learning And Data Mining

Mathematical Analysis For Machine Learning And Data Mining

Dan A Simovici
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      This compendium provides a self-contained introduction to mathematical analysis in the field of machine learning and data mining. The mathematical analysis component of the typical mathematical curriculum for computer science students omits these very important ideas and techniques which are indispensable for approaching specialized area of machine learning centered around optimization such as support vector machines, neural networks, various types of regression, feature selection, and clustering. The book is of special interest to researchers and graduate students who will benefit from these application areas discussed in the book. Related Link(s)
      Format: Hardback CONTRIBUTORS: Dan A Simovici EAN: 9789813229686 COUNTRY: Singapore PAGES: WEIGHT: 0 g HEIGHT: 0 cm
      PUBLISHED BY: World Scientific Publishing Co Pte Ltd DATE PUBLISHED: 2018-07-12 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Machine Theory WIDTH: 0 cm SPINE:

      Book Themes:

      Machine learning

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      This compendium provides a self-contained introduction to mathematical analysis in the field of machine learning and data mining. The mathematical analysis component of the typical mathematical curriculum for computer science students omits these very important ideas and techniques which are indispensable for approaching specialized area of machine learning centered around optimization such as support vector machines, neural networks, various types of regression, feature selection, and clustering. The book is of special interest to researchers and graduate students who will benefit from these application areas discussed in the book. Related Link(s)
      Format: Hardback CONTRIBUTORS: Dan A Simovici EAN: 9789813229686 COUNTRY: Singapore PAGES: WEIGHT: 0 g HEIGHT: 0 cm
      PUBLISHED BY: World Scientific Publishing Co Pte Ltd DATE PUBLISHED: 2018-07-12 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Machine Theory WIDTH: 0 cm SPINE:

      Book Themes:

      Machine learning

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