Data Science with Julia E–pub New

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Download Data Science with Julia

Download Data Science with Julia Paul D McNicholas Á 4 Summary Download ¿ PDF, DOC, TXT or eBook Á Paul D McNicholas Nce with Julia will get readers up to speed on key features of the Julia language and illustrate its facilities for data science and machine learning workFeatures Covers the core components of Julia as well as packages relevant to the input manipulation and representation of dataDiscusses several important topics in data science including supervised and unsupervised learningReviews data visualization using the Gadfly package which was designed to emulate the very popular ggplot package in R Readers will learn how to make many common plots and how to visualize model resultsPresents how to opt.

Download ¿ PDF, DOC, TXT or eBook Á Paul D McNicholasData Science with Julia

Download Data Science with Julia Paul D McNicholas Á 4 Summary Download ¿ PDF, DOC, TXT or eBook Á Paul D McNicholas This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist Professor Charles Bouveyron INRIA Chair in Data Science Universit C te d Azur Nice FranceJulia an open source programming language was created to be as easy to use as languages such as R and Python while also as fast as C and Fortran An accessible intuitive and highly efficient base language with speed that exceeds R and Python makes Julia a formidable language for data science Using well known data science methods that will motivate the reader Data Scie.

Paul D McNicholas Á 4 Summary

Download Data Science with Julia Paul D McNicholas Á 4 Summary Download ¿ PDF, DOC, TXT or eBook Á Paul D McNicholas Imize Julia code for performanceWill be an ideal source for people who already know R and want to learn how to use Julia though no previous knowledge of R or any other programming language is reuiredThe advantages of Julia for data science cannot be understated Besides speed and ease of use there are already over packages available and Julia can interface either directly or through packages with libraries written in R Python Matlab C C or Fortran The book is for senior undergraduates beginning graduate students or practicing data scientists who want to learn how to use Julia for data science.

  • Paperback
  • 240
  • Data Science with Julia
  • Paul D McNicholas
  • en
  • 19 December 2020
  • 1138499986