1 1)introduction to machine learning 2)learning problem 3)learning system design ies 511 machine...
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![Page 1: 1 1)Introduction to Machine Learning 2)Learning problem 3)Learning system design IES 511 Machine Learning Dr. Türker İnce (Lecture notes by Prof. T. M](https://reader035.vdocuments.us/reader035/viewer/2022062714/56649d155503460f949ea575/html5/thumbnails/1.jpg)
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1) Introduction to Machine Learning
2) Learning problem
3) Learning system design
IES 511
Machine Learning Dr. Türker İnce
(Lecture notes by Prof. T. M. Mitchell, Machine Learning course at CMU and Prof. E. Alpaydın, Introduction to Machine Learning, 2004)
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What’s Machine Learning?
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• Machine Learning is programming computers to optimize a performance criterion using example data or past experience
• There is no need to “learn” to calculate payrol?
• Learning is used when:• Human expertise does not exist (navigating on Mars),
• Humans are unable to explain their expertise (speech recognition, face recognition),
• Solution changes in time (routing a computer network),
• Solution needs to be adapted to particular cases (user
biometrics)
Why Learn?
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Face Recognition
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ML is a multidisciplinary field
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