
Machine Learning: Planning and Decision Making
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Confident you have the skills to certify without completing the course content?
Machine Learning: Planning and Decision Making
Learn about how planning and decision making are used in solving problems in machine learning in this free online course
Confident you have the skills to certify without completing the course content?
- Enrolled
Positive Ratings
- Avg. Duration1.5-3 Hours
- Available Languages (1)
English
This course is
CPD-Accredited
Learning Outcomes
Upon successful completion of this course you will be able to;
- Discuss real-world planning domains
- Explain the differences between planning and scheduling
- Describe the analysis of hierarchical decomposition
- Discuss the relationship between negated and disjointed goals
- Discuss planning and acting in the real world
- Explain the sequential decision problem
- Describe the cognitive and engineering approach to artificial intelligence activity
- Explain the two broad approach to solving problems in artificial intelligence
- Explain machine learning as a subset of artificial intelligence
- Describe the architecture of a learning system
- Explain the early history of machine learning
- Describe dimensionality reduction and reinforced learning
- Describe emerging trends in machine learning
Course Overview
About This Course
Course Description
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