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361 - Machine Learning
Karten in diesem Stapel (4)
- 1Define LearningA computer program is said to learn from experience E with respect to a task T and performance measure P.
If its performance at tasks T
Measured by P
Improves with experience E - 2What is Inductive HypothesisA hypothesis which approximates the target function well over a large training set.
It will also approximate the target function for unobserved examples.
(if H works for the test set it works for other datas) - 3Define a Hypothesis SpaceA hypothesis space is a the set of all possible hypotheses (models).
- 4Inductive BiasInductive bias are the assumptions that the learner makes to predict outputs given inputs it hasn't encountered yet.
Every algorithm has one.
Linear Regression assumes the dependent variable is related to the independent variable
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- Karteikarten am 361 - Machine Learning, erstellt von Nathan Stocking am 08/06/2019.
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- Nathan Stocking
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