Data Science with Julia (CRC Press)
Friday, 01 February 2019

This book aims to show that Julia is an accessible, intuitive, and highly efficient base language with speed that exceeds R and Python. Authors Paul D. McNicholas and Peter Tait get readers up to speed on key features of the Julia language and illustrate its facilities for data science and machine learning work. Using well known data science methods, the book shows what makes Julia a formidable language for data science.

<ASIN:1138499986>

 

Author: Paul D. McNicholas and Peter Tait
Publisher: Chapman and Hall/CRC
Date: January 2019
Pages: 240
ISBN: 978-1138499980
Print: 1138499986
Kindle:B07ML4SBRN
Audience: Senior undergraduates or practicing data scientists
Level: Intermediate
Category: Data Science

datajulia

  • Covers the core components of Julia as well as packages relevant to the input, manipulation and representation of data.
  • Discusses several important topics in data science including supervised and unsupervised learning.
  • Reviews data visualization using the Gadfly package, which was designed to emulate the very popular ggplot2 package in R. Readers will learn how to make many common plots and how to visualize model results.
  • Presents how to optimize Julia code for performance.
  • Will 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 required).

 

For recommendations of Data science books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


Domain Storytelling (Pearson)

Author: Stefan Hofer
Publisher: Pearson
Pages: 288
ISBN:978-0137458912
Print:0137458916
Kindle:B099ZNXCJT
Audience: software architects
Rating: 4.5
Reviewer: Kay Ewbank

This book sets out to be a practical guide to database domains, bringing together domain experts, software developers, designers and bus [ ... ]



Classic Computer Science Problems in Java

Author: David Kopec
Publisher: Manning
Date: January 2021
Pages: 264
ISBN: 978-1617297601
Print: 1617297607
Audience: Java developers
Rating: 4
Reviewer: Mike James
Getting someone else to do the hard work of converting classic problems to code seems like a good idea. It all depends which problems [ ... ]


More Reviews