Understanding the basics of machine learning is a necessary beginning to implementing it at a wider scale, whether in a proof of concept, for predictive analytics, or as a wider enterprise initiative. In this course, instructor Asha Saxena explores the primary components of machine learning, including how algorithms work, what happens in machine learning, and various types of machine learning (including supervised, unsupervised, and reinforcement), along with an overview of decision trees, regression algorithms, and rules, and a review of model validation testing tools.

Purpose

To gain an overall understanding of machine learning basics, what they are, and how they work.

Outcome

• Understand types of machine learning
• Explore various machine learning styles and algorithms
• Look at machine learning processes
• Discuss applications of machine learning

This Course Includes:

• A 38-minute educational training video
• A 12-question exam
• Self-paced and on-demand e-learning
• Unlimited course access
• Course CEUs: 1

Individual Course Price: $99
Learning Plan Price: $499
Learning Plan CEUs: 6

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

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