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Data Recipes

Thursday, November 14, 2013. Linear Regression With Pig. It's a bit silly trying to motivate a discussion of linear regression. It's everywhere. Linear regression is typically the first pass step for understanding a dataset. Is there a linear relationship between my variables? Maybe Let's try linear regression! In other, and less precise, words we just fit a damn line to it. Suffice it to say linear regression is one of those tools for data analysis that's not optional. You must. Let's talk about somethi...

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Data Recipes | thedatachef.blogspot.com Reviews
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Thursday, November 14, 2013. Linear Regression With Pig. It's a bit silly trying to motivate a discussion of linear regression. It's everywhere. Linear regression is typically the first pass step for understanding a dataset. Is there a linear relationship between my variables? Maybe Let's try linear regression! In other, and less precise, words we just fit a damn line to it. Suffice it to say linear regression is one of those tools for data analysis that's not optional. You must. Let's talk about somethi...
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Data Recipes | thedatachef.blogspot.com Reviews

https://thedatachef.blogspot.com

Thursday, November 14, 2013. Linear Regression With Pig. It's a bit silly trying to motivate a discussion of linear regression. It's everywhere. Linear regression is typically the first pass step for understanding a dataset. Is there a linear relationship between my variables? Maybe Let's try linear regression! In other, and less precise, words we just fit a damn line to it. Suffice it to say linear regression is one of those tools for data analysis that's not optional. You must. Let's talk about somethi...

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thedatachef.blogspot.com thedatachef.blogspot.com
1

Data Recipes: March 2012

http://thedatachef.blogspot.com/2012_03_01_archive.html

Wednesday, March 21, 2012. Topic Discovery With Apache Pig and Mallet. I'm going to use Apache Pig and Mallet. A java based machine learning and natural language processing library to discover topics in the 20 newsgroups data set. This corpus is nice since each document already belongs to a newsgroup (a topic) and so it gives us a way of checking how well our topic discovery is doing. The 20 newsgroups data set can be found on Infochimps here. Here's what a head of that data looks like:. Doc id:chararray...

2

Data Recipes: September 2013

http://thedatachef.blogspot.com/2013_09_01_archive.html

Monday, September 9, 2013. Recently I've been wanting to get ahold of the logical plan (a graph representation) for a pig script without running it. The largest reason is that the logical plan is a fairly language and platform agnostic representation of a dataflow. Once you have the logical plan I can think of several fun things you could do with it:. Serialize it as JSON and send it to any number of arbitrary tools. Visualize it in a web browser. Edit it with a web app. But what about in the mean time?

3

Data Recipes: October 2012

http://thedatachef.blogspot.com/2012_10_01_archive.html

Monday, October 8, 2012. K-D Tree Generation With Apache Pig. An idea that's been rolling around in my head for a while now has been how to create a k-d tree. With pig. I've been hesitant to post about it because it seemed like a ridiculous idea. That is, a k-d tree is typically generated recursively. So how can you parallelize its creation without reverting to some complicated iterative solution? First off, why bother pigify-ing the creation of a k-d tree? Meager database has over 20 million). Given...

4

Data Recipes: February 2011

http://thedatachef.blogspot.com/2011_02_01_archive.html

Tuesday, February 15, 2011. Indexing Text Corpora With Pig and ElasticSearch. Routinely working with raw data is strenuous, ulcer inducing, and overall hazardous to your health. Unstructured text even more so. Safe data mining requires proper mining gear. Imagine if you could step into a power-suit, fire up your hydraulic force pincers, and make that data your bitch? Default INDEX 'ufo sightings'. Default OBJ 'ufo sighting'. Indexing text with hadoop. Indexing text with pig. Friday, February 4, 2011.

5

Data Recipes: January 2011

http://thedatachef.blogspot.com/2011_01_01_archive.html

Wednesday, January 26, 2011. Graph Processing With Apache Pig. So, you're probably sick of seeing this airport data set by now ( flight edges. But it's so awesome that I have to re-use it. Let's use Pig to do the same calculation as this. Post in a much more succinct way. We'll really get a feel for what Pig is better at than Wukong. Caculates the monthly degree distributions for domestic airports from 1990 to 2009. Load data (boring part). Edges out = FOREACH flight edges GENERATE. Month AS month,.

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Data Recipes

Thursday, November 14, 2013. Linear Regression With Pig. It's a bit silly trying to motivate a discussion of linear regression. It's everywhere. Linear regression is typically the first pass step for understanding a dataset. Is there a linear relationship between my variables? Maybe Let's try linear regression! In other, and less precise, words we just fit a damn line to it. Suffice it to say linear regression is one of those tools for data analysis that's not optional. You must. Let's talk about somethi...

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