| 書目名稱 | Introduction to Data Science | | 副標(biāo)題 | A Python Approach to | | 編輯 | Laura Igual,Santi Seguí | | 視頻video | http://file.papertrans.cn/474/473596/473596.mp4 | | 概述 | Describes tools and techniques that demystify data science.Discusses Python extensions, techniques and modules to perform statistical analysis and machine learning.Includes case studies, and supplies | | 叢書名稱 | Undergraduate Topics in Computer Science | | 圖書封面 |  | | 描述 | .This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts?from statistics, machine/deep?learning?and responsible data science,?useful techniques for?network?analysis and?natural language processing,?and practical applications?of data science such as recommender systems or sentiment analysis.?.Topics and features:.?.Provides numerous practical case studies using real-world data throughout the book?.Supports understanding through hands-on experience of solving data science problems using Python?.Describes?concepts,?techniques and tools for statistical analysis, machine learning, graph analysis,?natural language processing, deep learning and?responsible data science.Reviews a range of applications of data science, including recommender systems and sentiment analysis of text data?.Provides supplementary code resources and data at an associated website?.This practically-focused textbook provides an ideal introduction to the field for upper-tier undergraduate and beginning graduate students from computer science, mathematics, statistics, and other technical discipli | | 出版日期 | Textbook 2024Latest edition | | 關(guān)鍵詞 | Data Science; Parallel Computing; Python Programming; Statistical Inference; Graph Analysis | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-031-48956-3 | | isbn_softcover | 978-3-031-48955-6 | | isbn_ebook | 978-3-031-48956-3Series ISSN 1863-7310 Series E-ISSN 2197-1781 | | issn_series | 1863-7310 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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