【數據科學實戰】數據科學補充閱讀材料(圖書推薦)

數據科學作爲一個新興領域,植根於其他學科:統計推斷、算法、統計模型、機器學習、實驗設計、優化理論、概率論、人工智能、數據可視化和探索性數據分析等。每門學科都值得花好幾門課或好幾本書專門講解,這正是寫作本書面臨的一個極大挑戰,因此我們將這些補充閱讀材料附在後面,希望讀者在需要時可以參考。

數學

  • Linear Algebra and Its Applications,Gilbert Strang著(Cengage Learning)
  • Convex Optimization,Stephen Boyd和Lieven Vendenberghe著(Cambridge University Press)
  • A First Course in Probability(Pearson)、Introduction to Probability Models(Academic Press),Sheldon Ross著

編程

  • R in a Nutshell,Joseph Adler著(O'Reilly)
  • Learning Python,Mark Lutz和David Ascher著(O'Reilly)
  • R for Everyone: Advanced Analytics and Graphics,Jared Lander著(Addison-Wesley)
  • The Art of R Programming: A Tour of Statistical Software Design,Norman Matloff著(No Starch Press)
  • Python for Data Analysis,Wes McKinney著(O'Reilly)

數據分析與統計推斷

  • Statistical Inference,George Casella和Roger L. Berger著(Cengage Learning)
  • Bayesian Data Analysis,Andrew Gelman等著(Chapman & Hall)
  • Data Analysis Using Regression and Multilevel/Hierarchical Models,Andrew Gelman和Jennifer Hill著(Cambridge University Press)
  • Advanced Data Analysis from an Elementary Point of View(http://goo.gl/udICRX),Cosma Shalizi著(Cambridge University Press)
  • The Elements of Statistical Learning: Data Mining, Inference and Prediction,Trevor Hastie、Robert Tibshirani和Jerome Friedman著(Springer)

人工智能和機器學習

  • Pattern Recognition and Machine Learning,Christopher Bishop著(Springer)
  • Bayesian Reasoning and Machine Learning,David Barber著(Cambridge University Press)
  • Programming Collective Intelligence,Toby Segaran著(O'Reilly)
  • Artificial Intelligence: A Modern Approach,Stuart Russell和Peter Norvig著(Prentice Hall)
  • Foundations of Machine Learning,Mehryar Mohri、Afshin Rostamizadeh和Ameet Talwalkar著(MIT Press)
  • Introduction to Machine Learning (Adaptive Computation and Machine Learning),Ethem Alpaydim著(MIT Press)

實驗設計

  • Field Experiments,Alan S. Gerber和Donald P. Green著(Norton)
  • Statistics for Experimenters: Design, Innovation, and Discovery,George E. P. Box等著(Wiley-Interscience)

可視化

  • The Elements of Graphing Data,William Cleveland著(Hobart Press)
  • Visualize This: The FlowingData Guide to Design,Visualization, and Statistics,Nathan Yau著(Wiley)

轉載自:圖靈社區
摘自:Doing Data Science by Rachel Schutt and Cathy O'Neil (O'Reilly). Copyright 2014 Rachel Schutt and Cathy O'Neil, 978-1-449-35865-5 
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