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DATA SCIENCE FOR ENGINEERS

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: [S.l.] : CRC PRESS, 2022Description: 1 Online-Ressource (1 online resource)ISBN:
  • 9781000813333
  • 1000813339
  • 9781003353584
  • 1003353584
  • 9781000813319
  • 1000813312
Subject(s): Additional physical formats: 9781000813333 | 0367754266 | 9780367754266 | Erscheint auch als: 9781000813333 Druck-Ausgabe | Erscheint auch als: 0367754266 Druck-AusgabeDDC classification:
  • 620.00285
LOC classification:
  • TA345.5.M42
Online resources: Summary: With tremendous improvement in computational power and availability of rich data, almost all engineering disciplines use data science at some level. This textbook presents material on data science comprehensively, and in a structured manner. It provides conceptual understanding of the fields of data science, machine learning, and artificial intelligence, with enough level of mathematical details necessary for the readers. This will help readers understand major thematic ideas in data science, machine learning and artificial intelligence, and implement first-level data science solutions to practical engineering problems. The book- Provides a systematic approach for understanding data science techniques Explain why machine learning techniques are able to cross-cut several disciplines. Covers topics including statistics, linear algebra and optimization from a data science perspective. Provides multiple examples to explain the underlying ideas in machine learning algorithms Describes several contemporary machine learning algorithms The textbook is primarily written for undergraduate and senior undergraduate students in different engineering disciplines including chemical engineering, mechanical engineering, electrical engineering, electronics and communications engineering for courses on data science, machine learning and artificial intelligencePPN: PPN: 1882643739Package identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB
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