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
- 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.
Bare Metal C
Author: Steve Oualline Publisher: No Starch Press Date: August 2022 Pages: 304 ISBN: 978-1718501621 Print: 1718501625 Kindle: B08YJB9BCF Audience: C programmers Rating: 3 Reviewer: Harry Fairhead Bare metal C sounds exciting and very basic. Time to find out how the machine really works.
|
Database Design for Mere Mortals: 25th Anniversary Edition
Author: Michael J Hernandez Publisher: Addison-Wesley Pages: 680 ISBN: 978-0136788041 Print: 0136788041 Kindle: B08JLXKJ6S Audience: Database developers Rating: 5 Reviewer: Kay Ewbank
As the title of this book suggests, this is a title that has stood the test of time, and this updated 4th Edition has bee [ ... ]
| More Reviews |
|