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
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语言: English
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作者: Gerald Friedland
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出版日期: 2023-12-02
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页数: 292
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出版社/标签: Springer Nature B.V
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格式: Hardcover
- Fruugo ID: 469771951-983726856
- ISBN: 9783031394768
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