NEURAL INTELLIGENCEMachine Learning
What are features and labels?
Features are inputs used by a model.
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NEURAL INTELLIGENCENEURAL INTELLIGENCEMachine Learning
What is supervised learning?
Supervised learning fits a model using examples paired with targets.
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NEURAL INTELLIGENCEMachine Learning
What is unsupervised learning?
Unsupervised learning looks for structure in data without requiring a target label for every example.
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NEURAL INTELLIGENCEMachine Learning
What is machine learning?
Machine learning finds patterns from data to support a task.
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NEURAL INTELLIGENCEMachine Learning
What are training, validation and test data?
A model needs evaluation on data it did not learn from.
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NEURAL INTELLIGENCEMachine Learning
What is regression in machine learning?
Linear regression models a numeric target as a weighted combination of features plus an intercept.
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NEURAL INTELLIGENCEMachine Learning
What is classification in machine learning?
Classification assigns an input to a category.
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NEURAL INTELLIGENCEMachine Learning
What are precision and recall?
Precision asks how many positive predictions were correct.
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NEURAL INTELLIGENCEMachine Learning
What is overfitting?
Overfitting happens when a model captures training-specific patterns that fail to generalise.
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