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Machine Learning Basic Concepts - edX

Machine LearningBasic ConceptsFeature'2'Feature'1'!"#$%&"'('!" #$%&"')'*"+,-,./' #&2'TerminologyMachine Learning , Data Science, Data Mining, Data Analysis, Sta-tistical Learning , Knowledge Discovery in Databases, Pattern everywhere! :processes 24 peta bytes of data per :10 million photos uploaded every :1 hour of video uploaded every :400 million tweets per :Satellite data is in hundreds of By 2020 the digital universe will reach The Digital Universe of Opportunities: Rich Data and theIncreasing Value of the Internet of Things, April s 44 trillion gigabytes!Data typesData comes in different sizes and also flavors (types): Texts Numbers Clickstreams Graphs Tables Images Transactions Videos Some or all of the above!

1.Training set is a set of examples used for learning a model (e.g., a classi cation model). 2.Validation set is a set of examples that cannot be used for learning the model but can help tune model parameters (e.g., selecting K in K-NN). Validation helps control over tting.

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