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All Blog Posts Tagged 'random' (4)

Random Forests explained intuitively

Random Forests algorithm has always fascinated me. I like how this algorithm can be easily explained to anyone without much hassle. One quick example, I use very frequently to explain the working of random forests is the way a company has multiple rounds of interview to hire a candidate. Let me elaborate. 



Say, you appeared for the position of Statistical analyst at WalmartLabs. Now like most of the companies, you don't just have one round of interview. You…

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Added by Manish Kumar Barnwal on June 1, 2017 at 12:30am — 4 Comments

Choosing features for random forests algorithm

There are many ways to choose features with given data, and it is always a challenge to pick up the ones with which a particular algorithm will work better. Here I will consider data from monitoring performance of physical exercises with wearable accelerometers, for example, wrist bands.

The data for this project come from this source: http://groupware.les.inf.puc-rio.br/har.

In this project, researchers used data from…

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Added by Maiia Bakhova on February 18, 2016 at 11:00am — 5 Comments

Real Time Predictive Models – Are They Possible?

Summary:  At least one instance of Real Time Predictive Model development in a streaming data problem has been shown to be more accurate than its batch counterpart.  Whether this can be generalized is still an open question.  It does challenge the assumption that Time-to-Insight can never be real time.

 

A few months back I was making my way through the latest literature on “real time analytics” and “in stream analytics” and my blood pressure was rising. …

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Added by William Vorhies on January 20, 2016 at 9:58am — 5 Comments

High Performance Computing + Data Science = Competitive Advantage

High Performance Computing (HPC) plus data science allows public and private organizations get…

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Added by Michael Walker on September 17, 2013 at 12:28pm — 1 Comment

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