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Learning path : Julia : explore data science with Julia.

Contributor(s):

Publisher: [Place of publication not identified] : Packt Publishing, [2017]Description: 1 online resource (1 streaming video file (5 hr., 33 min., 29 sec.)) : digital, sound, colorContent type:

two-dimensional moving image

Media type:

computer
video

Carrier type:

online resource

Other title:

Julia : explore data science with Julia
Explore data science with Julia

Subject(s):

Genre/Form:

Electronic books.

LOC classification:

QA76.73.J8

Online resources:

Click here to access online

Contents:

Julia for data science / Ivo Balbaert -- Julia solutions / Jalem Raj Rohit.

Presenter, Ivo Balbaert.Summary: "With the amount of data that is generated in the world these days, we are faced with the challenge of analyzing this data. Julia, which enjoys the benefits of a sophisticated compiler, parallel execution, and an all-encompassing mathematical function library, acts a very good tool that helps us work with data more efficiently. In this Learning Path, embark your journey, from the basics of Julia, right from installing it on your system and setting up the environment. You will then be introduced to the basic machine learning techniques, data science models, and concepts of parallel computing. After completing this learning path, you will have acquired all the skills that will help you work with data effectively."--Resource description page.

Item type:

eBooks

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Julia for data science / Ivo Balbaert -- Julia solutions / Jalem Raj Rohit.

Presenter, Ivo Balbaert.

Title and publication information from resource description page (Safari, viewed March 30, 2017).

Date of publication from resource description page.

"With the amount of data that is generated in the world these days, we are faced with the challenge of analyzing this data. Julia, which enjoys the benefits of a sophisticated compiler, parallel execution, and an all-encompassing mathematical function library, acts a very good tool that helps us work with data more efficiently. In this Learning Path, embark your journey, from the basics of Julia, right from installing it on your system and setting up the environment. You will then be introduced to the basic machine learning techniques, data science models, and concepts of parallel computing. After completing this learning path, you will have acquired all the skills that will help you work with data effectively."--Resource description page.