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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!Smile, we are DATAFIED ! Wherever we go, we are datafied . Smartphones are tracking our locations.

K-nearest neighbors Training algorithm: Add each training example (x;y) to the dataset D. x2Rd, y2f+1; 1g. Classi cation algorithm: Given an example xqto be classi ed. Suppose Nk(xq) is the set of the K-nearest neighbors of xq. ^yq= sign(X xi2Nk(xq) yi)

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