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Books in the Chapman & Hall/CRC Data Science Series series

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  • - Math + R + Data
    by Norman Matloff
    £58.99 - 150.99

  • by Greg Wilson, Toby (European Molecular Biology Laboratory, Germany) Hodges, et al.
    £47.49 - 123.99

  • by Jianqing (Princeton University Fan
    £105.99

    Gives a comprehensive and systematic account of high-dimensional data analysis, including variable selection via regularization methods and sure independent feature screening methods. It is a valuable reference for researchers involved with model selection, variable selection, machine learning, and risk management.

  • - With Applications in R
    by Italy) Zuccolotto, Marica (University of Brescia, Italy) Manisera & et al.
    £49.99 - 132.99

  • - Learn R and Python in Parallel
    by Nailong Zhang
    £47.49 - 123.99

    "A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source"--

  • - A Small Data Approach
    by Shuai Huang
    £75.99

    Highlights a combination of two aspects: technical concreteness and holistic thinking. Authors discuss what principles are used to invent these techniques, what assumptions are made, how mathematics is used to articulate these assumptions, and how these formulations generalize a range of real-world applications into generic and abstract forms.

  • by Harry G. Perros
    £45.49 - 110.49

  • by Julia Silge & Emil Hvitfeldt
    £48.99 - 132.99

  • - A Practical Approach for Predictive Models
    by Max Kuhn, USA.) Johnson & Kjell (North Carolina State University
    £45.49

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