Choosing the Right ML Approach for Your Business Case with ISO/IEC 25053:2022 / with Lyron Andrews.

Format:

Video

Author/Creator:

Andrews, Lyron, speaker.

Contributor:

linkedin.com (Firm)

Language:

English

Genre:

Instructional films.

Educational films.

Physical Description:

1 online resource

Place of Publication:

Carpenteria, CA : linkedin.com, 2025.

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.

digital

Summary:

Learn the system components of machine learning (ML), their function in the AI ecosystem, and how to choose the best approach for your business pipeline.

In this course, instructor Lyron Andrews shows you how to describe the system components of machine learning (ML) and their function in the AI ecosystem. This includes identifying general, supervised, unsupervised, and semi- or self-supervised learning, along with enumerating the steps related to the ML pipeline. Along the way, gather insights for evaluating the need for anomaly detection and dimensionality reduction related to training models. Lyron outlines the steps of the machine learning pipeline, from data acquisition and preparation to modeling, verification, and validation. By the end of this course, you'll be prepared to choose the right ML approach to meet the unique needs of your business case.

Participant:

Presenter: Lyron Andrews

Notes:

2/05/202512:00:00AM

Access Restriction:

Restricted for use by site license.