Handbuch Data Science: Mit Datenanalyse und Machine Learning Wert aus Daten generieren

Handbuch Data Science: Mit Datenanalyse und Machine Learning Wert aus Daten generieren

Stefan Papp , Wolfgang Weidinger , Mario Meir-Huber
아직 평점이 없습니다
2019 · 영어 · 킨들
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설명

This handbook offers a comprehensive overview of the diverse applications of data science, highlighting its significance across various industries. The authors, a collaboration of experienced professionals, delve into the intricacies of data analysis and machine learning, showcasing how these tools can be leveraged to extract meaningful insights from raw data.

Through practical case studies, readers are guided through real-world scenarios where data-driven decision-making has led to tangible results. The expertise of the authors illuminates key concepts, making complex methodologies accessible to a broad audience.

Ultimately, this resource serves as both a foundational text for newcomers and a reference point for seasoned practitioners seeking to enhance their understanding of data science's role in today’s data-centric world.

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형식 킨들
페이지 320 페이지
언어 영어
출판됨 Jul 8, 2019
출판사 Carl Hanser Verlag GmbH & Co. KG

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