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Information-Driven Machine Learning

Data Science as an Engineering Discipline

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  • 292 Seiten
  • 11 Lesestunden

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By introducing innovative information measurement methodologies, this groundbreaking book redefines traditional machine learning approaches. It explores how these new techniques can transform the field, offering fresh insights and practical applications that challenge existing paradigms. The focus on measurement provides a unique perspective that enhances understanding and effectiveness in machine learning practices.

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Information-Driven Machine Learning, Gerald Friedland

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Erscheinungsdatum
2023
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(Hardcover)
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