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Machine Learning UPM
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  ! #$%#!& ! ()*+,)- .)/012 ?     3)+4567 87)9656:; <7679)- 37=41>1-1:2 by Pascual Campoy Computer Vision Group Technical University Madrid ()*+,)- .)/012 ? +16=76=* ã   Objectives ã   Supervised and not supervised learning ã   Learning challenges ã   Building machine learning models ã   Errors and validation  ! #$%#!& ? ()*+,)- .)/012 @ 87)9656: 1AB7+CD7* Find a model that predicts the right output for a new input, given previous outputs  ?   ?   ()*+,)- .)/012 & E,079D5*7> -7)9656: Supervised learning concept Working structure y 1 . . y m . . x n x 1 y d1 y dm + - . . R  n   !  R  m  function generalitation ?   Feature space  ! #$%#!& @ ()*+,)- .)/012 F G6*,079D5*7> -7)9656: Feature space Unsupervised learning concept Working structure y 1 . . y m . . x n x 1 Clustering   ?   ()*+,)- .)/012 H 87)656: +4)--76:7* lack of learning samples ?   x 1 x 2 presence of noise  ! #$%#!& & ()*+,)- .)/012 87)656: +4)--76:7* Risk of uncorrelation between the training data and their relevance for desired output x 1 x 2  y   y(x)  p(x) x   ()*+,)- .)/012 I +16=76=* ã   Objectives ã   Supervised and not supervised learning ã   Learning challenges ã   Building machine learning models ã   Errors and validation
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