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This lecture was delivered by Dr. Ramya Riya at Ankit Institute of Technology and Science. This lecture is part of lecture series on Machine Learning and Artificial Intelligence course. It includes: Linear, Regression, Model, Representation, Supervised, Learning, Predict, Training, Set, Cost, Function, Hypothesis, Parameters, Simplified
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Model representa6on
0 100 200 300 400 500 0 500 1000 1500 2000 2500 3000 0 100 200 300 400 500 0 500 1000 1500 2000 2500 3000 Housing Prices (Portland, OR)
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Linear regression with one variable. Univariate linear regression.
Cost func6on
Idea: Choose so that is close to for our training examples
(for fixed , this is a func6on of x) (func6on of the parameter ) 0
(for fixed , this is a func6on of x) (func6on of the parameter ) 0
(for fixed , this is a func6on of x) (func6on of the parameters ) 0 100 200 300 400 500 0 1000 2000 3000 Price ($) in 1000’s Size in feet^2 (x)
(for fixed , this is a func6on of x) (func6on of the parameters )
(for fixed , this is a func6on of x) (func6on of the parameters )