MLE3: Supervised Learning
In this course, instructor Asha Saxena explores supervised learning in detail. She covers decision trees, maximizing information gain, criteria for attribute selection, ensemble learning, random forests, KNN, generalizability, normalization, rescaling, and much more.
In this course, instructor Asha Saxena explores supervised learning in detail. She covers decision trees, maximizing information gain, criteria for attribute selection, ensemble learning, random forests, KNN, generalizability, normalization, rescaling, and much more.
Purpose
To gain a deeper understanding of the usage of the many components and variables involved in supervised learning.
Outcome
- Understand supervised learning and how it is used
- Gain an understanding of many different types of supervised learning components
This Course Includes:
- A 46-minute educational training video
- A 15-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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