Google Cloud Professional Machine Learning Engineer Cert Prep: 1 Framing ML Problems.
(Online Course)

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Published
Carpenteria, CA linkedin.com, 2023.
Format
Online Course
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Language
English

Notes

General Note
6/08/202312:00:00AM
Participants/Performers
Presenter: Noah Gift
Description
Learn about the Google Professional Machine Learning Engineer certification exam, and topics relating to the first part of the exam, framing ML problems.
Description
Earning a Google Professional Machine Learning Engineer certification demonstrates your ability to design, build, and productionize machine learning models to solve business challenges using Google Cloud technologies, and knowledge of proven ML models and techniques. This is the first course in the Google Professional Machine Learning Engineer certification prep series and covers framing machine learning problems. Instructor Noah Gift shows you how to translate business challenges into ML use cases, defines common ML problems and business success criteria, and identifies risks to feasibility of ML solutions.
System Details
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.

Citations

APA Citation, 7th Edition (style guide)

Gift, N. (2023). Google Cloud Professional Machine Learning Engineer Cert Prep: 1 Framing ML Problems . linkedin.com.

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

Gift, Noah. 2023. Google Cloud Professional Machine Learning Engineer Cert Prep: 1 Framing ML Problems. linkedin.com.

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

Gift, Noah. Google Cloud Professional Machine Learning Engineer Cert Prep: 1 Framing ML Problems linkedin.com, 2023.

MLA Citation, 9th Edition (style guide)

Gift, Noah. Google Cloud Professional Machine Learning Engineer Cert Prep: 1 Framing ML Problems linkedin.com, 2023.

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.