425,06 €
472,29 €
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Machine Learning Algorithms for Problem Solving in Computational Applications
Machine Learning Algorithms for Problem Solving in Computational Applications
425,06
472,29 €
  • We will send in 10–14 business days.
Machine learning is an emerging area of computer science that deals with the design and development of new algorithms based on various types of data. Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques addresses the complex realm of machine learning and its applications for solving various real-world problems in a variety of disciplines, such as manufacturing, business, information retrieval, and security. This premier reference source is essent…
  • Publisher:
  • Year: 2012
  • Pages: 442
  • ISBN-10: 1466618337
  • ISBN-13: 9781466618336
  • Format: 22.1 x 28.5 x 3.3 cm, hardcover
  • Language: English
  • SAVE -10% with code: EXTRA

Machine Learning Algorithms for Problem Solving in Computational Applications (e-book) (used book) | bookbook.eu

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Machine learning is an emerging area of computer science that deals with the design and development of new algorithms based on various types of data. Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques addresses the complex realm of machine learning and its applications for solving various real-world problems in a variety of disciplines, such as manufacturing, business, information retrieval, and security. This premier reference source is essential for professors, researchers, and students in artificial intelligence as well as computer science and engineering.

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  • Publisher:
  • Year: 2012
  • Pages: 442
  • ISBN-10: 1466618337
  • ISBN-13: 9781466618336
  • Format: 22.1 x 28.5 x 3.3 cm, hardcover
  • Language: English English

Machine learning is an emerging area of computer science that deals with the design and development of new algorithms based on various types of data. Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques addresses the complex realm of machine learning and its applications for solving various real-world problems in a variety of disciplines, such as manufacturing, business, information retrieval, and security. This premier reference source is essential for professors, researchers, and students in artificial intelligence as well as computer science and engineering.

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