MLG 010 Languages & Frameworks
Machine Learning Guide
00:00
Functional Programming - Data Mining
The j v m languages, java and schala are meant for very, very highly scalable data pipe lines, or data architectures. Let's say that you're trying to m every tweat on twitter,. While consuming all the tweets from twitter would be done by way of a data architecture through distributed computing. So these would be your guise, the j vm languages and frameworks, hadup or spark. You would pipe all the tweets to spark or hadup, and you would write various nodes in this distribution graft for processing the data. This isData mining: boiling all your data down into just the basics, cleaning it up, slicing and dicing, packaging it up for either your data
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