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Gerações de Aprendizado de Máquina

Neste post do Dr. Vijay Srinivas Agneeswaran ele faz um ensaio sobre as 3 gerações de aprendizado de máquina:

1. The traditional ML tools for machine learning and statistical analysis including SAS, IBM SPSS, Weka and the R language – allow deep analysis of smaller data sets … 
2. Second generation ML tools such as Mahout, Pentaho or RapidMiner – allow what I call as shallow analysis of big-data. …
3. The third generation tools such as Spark, Twister, HaLoop, Apache Hama and GraphLab – facilitate deeper analysis of big-data – but how deep and how reliable are these?

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