skip to content
Getting started with machine learning for developers. Preview this item
ClosePreview this item
Checking...

Getting started with machine learning for developers.

Author: Packt Publishing,
Publisher: [Place of publication not identified] : Packt Publishing, 2017.
Edition/Format:   eVideo : Clipart/images/graphics : English
Summary:
"Most of us have heard about the term machine learning, but surprisingly the question frequently asked by developers across the Globe is, 'How do I get started in machine learning?' One reason could be the vastness of the subject area because people often get overwhelmed by the abstractness of ML and terms such as regression, supervised learning, probability density function, and so on. This systematic guide will  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

Find a copy online

Links to this item

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Packt Publishing,
OCLC Number: 1023436589
Notes: Title from resource description page (Safari, viewed February 14, 2018).
Description: 1 online resource (1 streaming video file (1 hr., 28 sec.)) : digital, sound, color

Abstract:

"Most of us have heard about the term machine learning, but surprisingly the question frequently asked by developers across the Globe is, 'How do I get started in machine learning?' One reason could be the vastness of the subject area because people often get overwhelmed by the abstractness of ML and terms such as regression, supervised learning, probability density function, and so on. This systematic guide will teach you various machine learning techniques. You start with the very basics of data and mathematical models in easy-to-follow language that you are familiar with; you will feel at home while implementing the examples. The course introduces you to various libraries and frameworks used in the world of machine learning, and then, without wasting any time, you will get to the point and implement regression, clustering, classification, and more, all with fun examples."--Resource description page.

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/1023436589> # Getting started with machine learning for developers.
    a schema:VideoObject, schema:CreativeWork, schema:Movie ;
    library:oclcnum "1023436589" ;
    rdfs:comment "Unknown 'gen' value: cig" ;
    schema:about <http://experiment.worldcat.org/entity/work/data/4765719046#Topic/machine_learning_development> ; # Machine learning--Development
    schema:about <http://experiment.worldcat.org/entity/work/data/4765719046#Topic/application_software_development> ; # Application software--Development
    schema:datePublished "2017" ;
    schema:description ""Most of us have heard about the term machine learning, but surprisingly the question frequently asked by developers across the Globe is, 'How do I get started in machine learning?' One reason could be the vastness of the subject area because people often get overwhelmed by the abstractness of ML and terms such as regression, supervised learning, probability density function, and so on. This systematic guide will teach you various machine learning techniques. You start with the very basics of data and mathematical models in easy-to-follow language that you are familiar with; you will feel at home while implementing the examples. The course introduces you to various libraries and frameworks used in the world of machine learning, and then, without wasting any time, you will get to the point and implement regression, clustering, classification, and more, all with fun examples."--Resource description page."@en ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/4765719046> ;
    schema:inLanguage "en" ;
    schema:name "Getting started with machine learning for developers."@en ;
    schema:productID "1023436589" ;
    schema:publisher <http://experiment.worldcat.org/entity/work/data/4765719046#Organization/packt_publishing> ; # Packt Publishing,
    schema:url <http://ezproxy.torontopubliclibrary.ca/login?url=http://proquestcombo.safaribooksonline.com/?uiCode=torontopl&xmlId=9781789131543> ;
    schema:url <http://proquest.safaribooksonline.com/?fpi=9781789131543> ;
    schema:url <https://login.library.sheridanc.on.ca/login?url=http://proquestcombo.safaribooksonline.com/?uiCode=sheridan&xmlId=9781789131543> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/1023436589> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/4765719046#Topic/application_software_development> # Application software--Development
    a schema:Intangible ;
    schema:name "Application software--Development"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/4765719046#Topic/machine_learning_development> # Machine learning--Development
    a schema:Intangible ;
    schema:name "Machine learning--Development"@en ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.