Basics of ML Rohan Suri.

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Presentation transcript:

Basics of ML Rohan Suri

Two main types of machine learning Supervised Unsupervised

The problem of classification

The problem of classification

The problem of classification

Supervised Learning Common problem is classification Train on features and labels and predict a class

Binary Classification Sensitivity (True positive rate) Percent accurately classified positive Specificity (1-false positive rate) Percent accurately classified negative

Receiver Operating Curve

Bayes Rule Prior Observation Posterior

Bomb Search Example

Bayes Rule