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  • Sách/Book

  • JavaScript Data Structures and Algorithms

    • Authors: Sammie Bae (2019)

  • This book covers the practical applications of data structures and algorithms to encryption, searching, sorting, and pattern matching.
  • Sách/Book

  • Probability and statistics for data science : math + R + data

    • Authors: Norman Matloff (2019)

  • Probability and Statistics for Data Science: Math + R + Data covers "math stat"-distributions, expected value, estimation etc.-but takes the phrase "Data Science" in the title quite seriously: Real datasets are used extensively. All data analysis is supported by R coding. Includes many Data Science applications, such as PCA, mixture distributions, random graph models, Hidden Markov models, linear and logistic regression, and neural networks.
  • Sách/Book

  • Probability and statistics for computer scientists

    • Authors: Michael Baron (2019)

  • Probability and Statistics for Computer Scientists, Third Edition helps students understand fundamental concepts of Probability and Statistics, general methods of stochastic modeling, simulation, queuing, and statistical data analysis; make optimal decisions under uncertainty; model and evaluate computer systems; and prepare for advanced probability-based courses. Written in a lively style with simple language and now including R as well as MATLAB
  • Sách/Book

  • Business statistics in practice : using modeling, data, and analytics

    • Authors: Bruce L. Bowerman (2017)

  • The textbook employs realistic examples, continuing case studies and a business improvement theme to teach the material. The Eighth Edition features more concise and lucid explanations, an improved topic flow and a sensible use of the best and most compelling examples.
  • Sách/Book

  • Elementary statistics : a step by step approach

    • Authors: Allan G. Bluman (2018)

  • This text is aimed at students who do not have a mathematical background. It therefore uses a non-theoretical approach, and concepts are explained intuitively, without the use of formal proofs; they are instead supported by example.
  • Sách/Book

  • Methods in behavioral research

    • Authors: Paul C. Cozby (2014)

  • Methods in Behavioral Research continues to guide students toward success by helping them study smarter and more efficiently. Cozby and Bates provide helpful pedagogy, rich examples, and a clear voice in their approach to methodological decision-making.