Home > Administrativia, Practical Data Science, Statistics > Practical Data Science with R, deal of the day Aug 1 2013

Practical Data Science with R, deal of the day Aug 1 2013

July 31st, 2013
  1. Mohan Radhakrishnan
    August 23rd, 2013 at 03:55 | #1

    I work with Java as technical architect and started coding R because our sizing team couldn’t relate workloads with number of cores or RAM. Since then I have collected many R books.
    I would like to know how datasets like http requests, think-time analysis , disk accesses and memory usages can be correlated(coefficient) and linear regression applied on them. This is size cores or memory. How do we go about doing this ? Does you book deal with that ? Sometimes this could multivariate.
    Is the ”practical” part of the book helpful for this ?
    Mohan

    • August 23rd, 2013 at 05:14 | #2

      Out book deals more with predictive modeling and how to adapt predictive modeling to business questions. What you are talking about sounds like capacity planning or extrapolation. Probably you want a book that is dedicated to capacity planning.

  2. Mohan Radhakrishnan
    August 23rd, 2013 at 05:48 | #3

    I haven’t stated the question clearly. Sentence structures are wrong.
    Yes. This is more about capacity planning than anything else. But linear regression can be applied ? You have such a topic.
    I have books on capacity planning and queueing analysis. But I am missing the statistics part of it.
    I might buy the book anyway.
    Thanks.

Comments are closed.