Machine Learning | Find-S Algorithm

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The find-S algorithm is a basic concept learning algorithm in machine learning. The find-S algorithm finds the most specific hypothesis that fits all the positive examples. We have to note here that the algorithm considers only those positive training example. The find-S algorithm starts with the most specific hypothesis and generalizes this hypothesis each time it fails to classify an observed positive training data. Hence, Find-S algorithm moves from the most specific hypothesis to the most general hypothesis. #MachineLearning #ConceptLearning #FindS

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Well explained, understood each single step. Thank you

nandininandu
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I have an exam tomorrow....this video really did help a lot....thank you

medhar
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ur explanation was damn clr ... very helpful sir keep going

jeevapriya
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Gayet güzel ve basitçe anlatılmış. Teşekkürler. (It is explained very nicely and simply. Thanks.)

mustafakilic
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Why we are not considering h5 as the most general one, because h5=h6

kulsumQureshi-glii
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Hello my friend, I want the code for this topic in Matlab, I will be grateful

احبابالروح-ذيد
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is it possible that after finishing all variable became question mark, or i do wrong??
the data is:
Example Color Toughness Fungus Appearance Poisonous
1 Green Soft No Wrinkled Yes
2 Green Soft Yes Smooth No
3 Brown Hard No Smooth Yes
4 Green Soft Yes Smooth No
5 Orange Soft Yes Wrinkled Yes
i start as you but the final answer is "<?, ?, ?, ?>"

noobknowbetter