Course Description

Machine learning (ML) is about building programs with adaptable parameters. Through innovative construction, queries automatically adjust based on changing data sets the programs receive. By adapting to previously seen data, programs can improve their behavior. At its most basic, machine learning is the practice of using algorithms to parse data, learn from it, and then decide or predict a beneficial outcome of artificial intelligence (AI) for digital transformation.

The “What is…?” series of data fundamentals courses, along with associated packaged Learning Plans, are meant to help data and non-data professionals build a common language and understanding between them on significant data-related topics such as Data Management, Data Governance, Data Stewardship, Data Modeling, Data Architecture, and many others.

These courses provide a means to develop a level of cooperative understanding between business users, executives, teams, and technical professionals across your organization, so that everyone can be on the same page as you move forward with your data programs and initiatives.

Purpose

To gain a solid understanding of the core concepts of machine learning and why businesses use it to improve efficiency.

Outcome:

• Learn textbook and practical definitions of machine learning
• Understand how machine learning is a sub-field of artificial intelligence
• Identify how automated data analysis benefits analytical model building

This Course Includes:

• A 15-minute educational training video
• A 6-question exam
• Materials made available for download once the exam has been completed
• Self-paced and on-demand e-learning
• Unlimited course access
• Course CEUs: 0.5 hours

Individual Course Price: $49

We offer several bulk licensing options for corporate and group use.

Contact us for a follow-up discussion!