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Machine Learning Basic Concepts - edX

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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 !

Machine Learning, Data Science, Data Mining, Data Analysis, Sta-tistical Learning, Knowledge Discovery in Databases, Pattern Dis-covery. ... parameters. +Can be extended easily with news examples. Cons:-Requires large space to store the entire training dataset.-Slow! Given n examples and d features. The method takes

  Machine, Parameters

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