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
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2019 · 英語 · Kindle
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描述

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.

書籍詳情

格式 Kindle
頁數 320 頁
語言 英語
已出版 Jul 8, 2019
出版商 Carl Hanser Verlag GmbH & Co. KG
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