| 書目名稱 | Principles of Data Science | | 編輯 | Hamid R. Arabnia,Kevin Daimi,Kai Brüssau | | 視頻video | http://file.papertrans.cn/756/755522/755522.mp4 | | 概述 | Introduces various techniques, methods, and algorithms adopted by Data Science experts.Provides a detailed explanation of data science perceptions, reinforced by practical examples.Presents a road map | | 叢書名稱 | Transactions on Computational Science and Computational Intelligence | | 圖書封面 |  | | 描述 | This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication techniques, data science tools, deep learning, and various data science applications. Researchers can extract and conclude various future ideas and topics that could result in potential publications or thesis. Furthermore, this book contributes to Data Scientists’ preparation and to enhancing their knowledge of the field. The book provides a rich collection of manuscripts in highly regarded data science topics, edited by professors with long experience in the field of data science..Introduces various techniques, methods, and algorithms adopted by Data Science experts.Provides a detailed explanation of data science perceptions, reinforced by practical examples.Presents a road map of future trends suitable for innovative data science research and practice. | | 出版日期 | Book 2020 | | 關(guān)鍵詞 | Data Science statistical techniques; Data analysis methods; Machine learning algorithms; Big Data; Data | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-43981-1 | | isbn_softcover | 978-3-030-43983-5 | | isbn_ebook | 978-3-030-43981-1Series ISSN 2569-7072 Series E-ISSN 2569-7080 | | issn_series | 2569-7072 | | copyright | Springer Nature Switzerland AG 2020 |
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