Alex's Notes

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Training data

Jan 13, 20241 min read

machine-learning

Training data

Within the modelling framework, training data is a set of observations which are normally samples from and . You would use this to train models. This should be kept distinct from you Testing data.

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9. Support Vector Machines
Week 1 - Chapter 1 Machine Learning
Week 2 - Neural networks
Week 2 - Regression and classification
Week 4 - Support Vector Machines
Week 5 - Computational Learning Theory
Week 6 - Bayesian learning
Bagging
Bayeses optimal classifier
Calculate polynomial regression coefficients for MSE
Cost complexity pruning for decision trees (CPP)
Cross validation
Error function (modelling)
Finding the maximum likelihood estimation for normally distributed noise is the same as minimising mean squared error
Fold (cross validation)
Haussler Theorem
Instance-based learning
Overfitting
PAC learnable bound with VC-dimension
Perceptron rule
Pre-pruning decision trees
Single linkage clustering
Support vector machines (SVM)
Testing data
The curse of dimensionality
Training error
Underfitting
Unsupervised learning
epsilon-exhausted version space
k-means clustering
k-nearest neighbour

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Training data

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