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Machine Learning

by Akshatha MsAkshatha Ms
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Akshatha Ms
Akshatha Ms
Outline  Why Machine Learning?  What is a well-de ned learning problem?  An example: learning to play checkers  What questions should we ask about Machine Learning? 1 lecture slides for textbook Machine Learning, T. Mitchell, McGraw Hill, 1997
Why Machine Learning  Recent progress in algorithms and theory  Growing ood of online data  Computational power is available  Budding industry Three niches for machine learning:  Data mining : using historical data to improve decisions { medical records ! medical knowledge  Software applications we can't program by hand { autonomous driving { speech recognition  Self customizing programs { Newsreader that learns user interests 2 lecture slides for textbook Machine Learning, T. Mitchell, McGraw Hill, 1997
Typical Datamining Task Data: Patient103 time=1 Patient103 time=2 ... Patient103 time=n Age: 23 FirstPregnancy: no Anemia: no Diabetes: no PreviousPrematureBirth: no Ultrasound: ? Age: 23 FirstPregnancy: no Anemia: no Diabetes: YES PreviousPrematureBirth: no Ultrasound: abnormal Age: 23 FirstPregnancy: no Anemia: no Diabetes: no PreviousPrematureBirth: no Ultrasound: ? Elective C−Section: ? Emergency C−Section: ? ... Elective C−Section: no Emergency C−Section: ? ... Emergency C−Section: Yes Elective C−Section: no ... Given:  9714 patient records, each describing a pregnancy and birth  Each patient record contains 215 features Learn to predict:  Classes of future patients at high risk for Emergency Cesarean Section 3 lecture slides for textbook Machine Learning, T. Mitchell, McGraw Hill, 1997
Datamining Result Data: Patient103 time=1 Patient103 time=2 ... Patient103 time=n Age: 23 FirstPregnancy: no Anemia: no Diabetes: no PreviousPrematureBirth: no Ultrasound: ? Age: 23 FirstPregnancy: no Anemia: no Diabetes: YES PreviousPrematureBirth: no Ultrasound: abnormal Age: 23 FirstPregnancy: no Anemia: no Diabetes: no PreviousPrematureBirth: no Ultrasound: ? Elective C−Section: ? Emergency C−Section: ? ... Elective C−Section: no Emergency C−Section: ? ... Emergency C−Section: Yes Elective C−Section: no ... One of 18 learned rules: If No previous vaginal delivery, and Abnormal 2nd Trimester Ultrasound, and Malpresentation at admission Then Probability of Emergency C-Section is 0.6 Over training data: 26/41 = .63, Over test data: 12/20 = .60 4 lecture slides for textbook Machine Learning, T. Mitchell, McGraw Hill, 1997

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