Efficient Learning Machines Theories Concepts And Applications For Enginee

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+ CN¥149.49 Shipping

Efficient Learning Machines Theories Concepts And Applications For Enginee

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Efficient Learning Machines Theories Concepts And Applications For Enginee

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Efficient Learning Machines Theories Concepts And Applications For Enginee

Machine Learning Techniques Provide Cost-effective Alternatives To Traditional Methods For Extracting Underlying Relationships Between Information And Data And For Predicting Future Events By Processing Existing Information To Train Models. Efficient Learning Machines Explores The Major Topics Of Machine Learning, Including Knowledge Discovery, Classifications, Genetic Algorithms, Neural Networking, Kernel Methods, And Biologically-inspired Techniques. Mariette Awad And Rahul Khannarsquo;s Synthetic Approach Weaves Together The Theoretical Exposition, Design Principles, And Practical Applications Of Efficient Machine Learning.
  • Brand: Springer Nature B.V
  • Category: Computing & Internet
  • Format: Paperback
  • Language: English
  • Publication Date: 2015-04-30
  • Publisher / Label: Springer Nature B.V
  • Author: Mariette Awad
  • Number of Pages: 270
  • Fruugo ID: 557027879-1125295856
  • ISBN: 9781430259893
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