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Big Data Techniques for Econometrics by Kal_C is a document available to read on EtoBox.

What is Big Data Techniques for Econometrics about?

This document summarizes tools for analyzing big data. Conventional statistical techniques often work for smaller datasets but big data requires different tools. Machine learning techniques like decision trees, support vector machines and neural networks can model complex relationships in large datasets. The document describes tools like MapReduce, Sawzall and Dremel that can manipulate and query very large datasets distributed across many computers. It discusses using these tools for prediction, summarizat

Author

Kal_C

Language

EN