How to Use Power Query to Import Hadoop Data into Excel

When Power Query was first introduced early in 2013 it was known as the Data Explorer. In some ways, Data Explorer was a better name. The primary job of Power Query is to enable Excel users to examine data, decide what values need to be imported into Excel, and then complete the import process. If […]
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How to Predict Outcomes Using Random Forests and Spark

Random forests are an ensemble, or model of models, machine learning approach. The algorithm builds multiple decision trees, based on different subsets of the features in the data. Outcomes are then predicted by running observations through all the trees and averaging the individual predictions. Think wisdom of crowds. Spark’s machine learning library, MLlib, has support […]
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Paying by Numbers—Should Data Scientists Receive Performance Based Compensation?

A recent article suggests that, in the “near future”, data analysts will be compensated based on performance. They will receive commission-based payments, rather like salesmen, rather that being paid purely for their time. This performance will presumably be determined by the impact that the data analyst has on the key goals of the organization, e.g. […]
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How to Build a Predictive Model Using Azure Machine Learning

In this article, we’ll use Microsoft’s Azure Machine Learning (ML) service to predict breast cancer diagnoses from test data. If you don’t have an Azure account, a free trial is available. Note that, at the time of writing, ML is in preview, so the details may change. However, the basic concepts should still apply. Obtaining […]
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How to Build a Predictive Model using R

As the availability of high quality data continues to grow, the most successful organizations will be those that can draw value from it. This requires powerful analysis tools that can transform data into useful results. One such tool is R—a popular open-source language and environment for statistical analysis. In a recent survey, data scientists identified […]
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