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Slides about Mining Massive Datasets from Stanford University

Sunday, August 14, 2011

Hi all,

For anyone who would like to study more about handling with large datasets, you must take a look at the classes resources of Stanford University.

One is the  Mining Massive Datasets, that discusses methods and algorithms for mining massive data sets. There are lots of resources including special topics about Recommender Systems.


The second one is the course Project in Mining Massive Datasets , which will focus on a real project
using large scale data mining techniques and research projects. The slides provide several examples using the Amazon EC2  computing cluster with massive MapReduce Jobs.

I extremely recommend both content material, since there are a scarse volume of materials about those topics in a easy-learning way to study!

Regards,

Marcel Caraciolo
Postado por marcelcaraciolo às 9:48 PM
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7 comments:

  1. UnknownJune 29, 2014 at 10:27 AM

    Thanks for the blog post .But can someone help by please changing the link to a valid one for " Mining Massive Datasets"

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      Mining massive datasets is a crucial aspect of data science and big data analytics. It involves extracting valuable information from large-scale datasets that are often too big or complex to be handled using traditional data-processing techniques. Below is a structured approach to mining massive datasets, covering key concepts, tools, techniques, and practical examples.

      Big Data Projects For Final Year Students

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