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Error-Driven Learning - What is the term for a type of machine learning where the algorithm learns from its mistakes?
Answer
In comparison to other ML methods, error-driven learning offers various benefits: Because of their capacity to receive criticism and use it to improve, they are both adaptable and resistant to data changes and noise.
Other useful AI terms
- What are the 4 types of machine learning?
- Can AI learn from its mistakes?
- How does error-driven learning work?
- What is learning errors?
- What is the learning methodology where the model learns through a trial and error method?
- What is the term for a type of machine learning where the algorithm learns from its mistakes?
AI suggestions
- What are the 4 types of machine learning?
- Can AI learn from its mistakes?
- How does error-driven learning work?
- What is learning errors?
- What is the learning methodology where the model learns through a trial and error method?
- What is the term for a type of machine learning where the algorithm learns from its mistakes?