Introduction to machine learning : art of the possible.
(Online Materials)

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Published
[United States] : Amazon Web Services, Inc., [2021].
Format
Online Materials
Language
English

Notes

Restrictions on Access
Access limited to subscribing institutions.
Description
The Introduction to Machine Learning: Art of the Possible course provides best practices and recommendations for machine learning (ML) competency and a roadmap for integrating ML into your business processes. This course focuses on business leaders and other decision makers currently or potentially involved in ML projects.--Publisher.
System Details
System requirements: Windows 8: current versions of Firefox or Chrome; Windows 10: Microsoft Edge, or current versions of Firefox or Chrome; Mac OS X: current versions of Safari, Firefox, or Chrome; JavaScript and cookies enabled.

Citations

APA Citation, 7th Edition (style guide)

(2021). Introduction to machine learning: art of the possible . Amazon Web Services, Inc..

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

2021. Introduction to Machine Learning: Art of the Possible. [United States]: Amazon Web Services, Inc.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Introduction to Machine Learning: Art of the Possible [United States]: Amazon Web Services, Inc, 2021.

Harvard Citation (style guide)

(2021). Introduction to machine learning: art of the possible. [United States]: Amazon Web Services, Inc.

MLA Citation, 9th Edition (style guide)

Introduction to Machine Learning: Art of the Possible Amazon Web Services, Inc., 2021.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID
1bb3f616-ea29-be00-0744-ddb57cb31941-eng
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Grouping Information

Grouped Work ID1bb3f616-ea29-be00-0744-ddb57cb31941-eng
Full titleintroduction to machine learning art of the possible
Authoramazon web services
Grouping Categoryother
Last Update2024-08-14 17:00:26PM
Last Indexed2024-12-18 02:04:53AM

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Last File Modification TimeAug 14, 2024 05:00:48 PM

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