Information-driven Machine Learning Data Science As An Engineering Discipline - Gerald Friedland

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Information-driven Machine Learning Data Science As An Engineering Discipline - Gerald Friedland

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Information-driven Machine Learning Data Science As An Engineering Discipline - Gerald Friedland

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Information-driven Machine Learning Data Science As An Engineering Discipline - Gerald Friedland

This Groundbreaking Book Transcends Traditional Machine Learning Approaches By Introducing Information Measurement Methodologies That Revolutionize The Field. Stemming From A Uc Berkeley Seminar On Experimental Design For Machine Learning Tasks, These Techniques Aim To Overcome The 'black Box' Approach Of Machine Learning By Reducing Conjectures Such As Magic Numbers (hyper-parameters) Or Model-type Bias. Information-based Machine Learning Enables Data Quality Measurements, A Priori Task Complexity Estimations, And Reproducible Design Of Data Science Experiments.
  • 品牌: Unbranded
  • 类别: 参考
  • 语言: English
  • 作者: Gerald Friedland
  • 页数: 292
  • 出版社／标签: Springer Nature B.V
  • 格式: Hardcover
  • Fruugo ID: 469771951-983726856
  • ISBN: 9783031394768

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