# 2164 search results for "regression"

## How fair is White Elephant?

December 24, 2013
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Welcome to analyze stuff! For our first post, I wanted to reflect on the time of year; after all, ‘tis the season for hams and yams, caroling and sledding, and of course gifts! One popular party gift exchange game is the White Elephant, where each person brings a wrapped (typically regifted or otherwise odd-ball)...

## Apache Spark for Big Analytics

December 23, 2013
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by Thomas Dinsmore, Director of Product Management at Revolution Analytics The emergence of Apache Spark is a key development for Big Analytics in 2013. Spark, an Apache incubator project, is an open source distributed computing framework for advanced analytics in Hadoop. Originally developed as a research project at UC Berkeley's AMPLab, the project achieved incubator status in Apache in...

## Calculating Customer Lifetime Value with Recency, Frequency, and Monetary (RFM)

December 23, 2013
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Introducing Customer Lifetime Value (CLV) Customer Lifetime Value is “the present value of the future cash flows attributed to the customer during his/her entire relationship with the company.”1 There are different kinds of formulas, from simplified to advanced, to calculate CLV.  But the following one might be the one being used most commonly:- Where, t

## 24 Days of R: Day 20

December 20, 2013
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Some time ago, I was doing some analysis and trying to determine whether or not there was a predictive variable for a binomial response. I ran logistic regressions for about half a dozen variables in different combinations and nothing showed a fit of any significance. Well, almost nothing. I had measured the response against date.

## 24 Days of R: Day 19

December 19, 2013
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Carrying on with the multi-level model, I'm going to look at the paid and incurred workers comp losses for a large number of insurance companies. This is a similar exercise to what I did last night, but I'm now working with real, rather than simulated data and the stochastic process is assumed to be different.

## Twelve Days 2013: Sensor Fusion

December 18, 2013
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Day Seven: Sensor Fusion TL/DR Sensor fusion is a generic term for techniques that address the issue of combining multiple noisy estimates of state in an optimal fashion. There’s a straight forward view of it as the gain on a Kalman–Bucy filter, and an even simpler interpretation under the central limit theorem. A Primer on Stochastic Control Control theory is...

## Twelve Days 2013: Sensor Fusion

December 18, 2013
By

Day Seven: Sensor Fusion TL/DR Sensor fusion is a generic term for techniques that address the issue of combining multiple noisy estimates of state in an optimal fashion. There’s a straight forward view of it as the gain on a Kalman–Bucy filter, and an even simpler interpretation under the central limit theorem. A Primer on Stochastic Control Control theory is...

## New version of analogue on CRAN

December 14, 2013
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It has been almost a year since the last release of the analogue package. At lot has happened in the intervening period and although I’ve been busy with a new job in a new country and coding on several other R packages, activity on analogue has also progressed a pace. As the version 0.12-0 of the package hits a...

## Understanding the data analytics project life cycle

December 12, 2013
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While dealing with the data analytics projects, there are some fixed tasks that should be followed to get the expected output. So here we are going to build a data analytics project cycle, which will be a set of standard data-driven processes to lead data to insights effectively. The defined data analytics processes of a The post Understanding...

## Thursday: Scalable Cross-Platform R-Based Predictive Analytics

December 11, 2013
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Tomorrow at 11AM Pacific Time, Revolution Analytics' Chief Scientist Mario Inchiosa will present a live webinar on Scalable Cross-Platform R-Based Predictive Analytics. Here's the abstract: In this webinar we will take a quick tour through an end-to-end predictive analytics session. We will start by exploring our data with summaries and histograms. Using the knowledge gleaned from data exploration, we...