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What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the machine learning theoretical concepts and approaches that are used in predictive data analytics through practical applications and case studies.
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What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the machine learning theoretical concepts and approaches that are used in predictive data analytics through practical applications and case studies.
schovat popis
- Nakladatel: Taylor & Francis Ltd
- Kód:
- Rok vydání: 2023
- Jazyk: Angličtina
- Vazba: Taschenbuch
- Počet stran: 260
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