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  • eBook:Probability and Statistics for Computer Science

    Probability and Statistics for Computer Science

    David Forsyth
    978-3-319-64410-3
    2018
    Edition 1
    • list of terms a student should understand,
    • list of facts a student should keep in mind,
    • list of procedures a student should be able to use,
    • list of practical skills a student should have absorbed.
    • All end-of-chapter elements reference to their discussions within the chapter
    • A clear but crisp account of probability, structured specifically to the needs of the undergraduate computer science student
    • Many exercises and examples using a wide range of real published datasets throughout, focusing on content that is likely to be used in practice
    • Easy-to-understand but careful treatment of topics, with much emphasis on exploratory data analysis and descriptive statistics
    • Topics of great practical importance (like classification, clustering, regression, and principal components analysis) covered at an undergraduate level, with an emphasis on using methods in practice on real datasets
    • Text broken up throughout with handy and useful sidebars which help explain the content in real time, including worked examples so that the reader can self-assess while absorbing the material
    • Each chapter ends with:
    • list of definitions a student sh
    • Includes supplementary material: sn.pub/extras
    • Request lecturer material: sn.pub/lecturer-material
    €419 €377
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