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A First course in machine learning/ by Simon Rogers & Mark Girolami

By: Contributor(s): Material type: TextTextPublication details: Boca Raton: CRC Press, c2020.Edition: 2nd edDescription: xxix, 397 pISBN:
  • 9781032937908
Subject(s): DDC classification:
  • 006.31 ROG
Summary: The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing ‘just in time’ the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts
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Item type Current library Call number Status Date due Barcode
Book Book International Management Institute New Delhi 006.31 ROG (Browse shelf(Opens below)) Checked out 08/05/2025 22014

Includes bibliographical references and index.

The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing ‘just in time’ the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts

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