Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications (Undergraduate Topics in Computer Science)

Laura Igual

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商品描述

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing 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 techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; 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.

商品描述(中文翻譯)

這本易於理解且經過課堂驗證的教科書/參考書,介紹了新興且跨學科的資料科學領域的基礎知識。內容涵蓋了從統計學和機器學習中採用的關鍵概念,圖形分析和並行編程的有用技術,以及將資料科學應用於建立推薦系統或進行情感分析等任務的實際應用。主題和特點包括:書中提供了許多使用真實世界數據的實際案例研究;通過使用Python解決資料科學問題的實踐經驗來支持理解;描述了統計分析、機器學習、圖形分析和並行編程的技術和工具;回顧了資料科學的各種應用,包括推薦系統和文本數據的情感分析;提供了相關網站上的補充代碼資源和數據。