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All Blog Posts Tagged 'to' (6)

How to build a search engine - Part 2: Configuring elasticsearch

This post is the second part of the multi-part series on how to build a search engine –

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Added by Vivek Kalyanarangan on December 23, 2016 at 10:30am — No Comments

Time issue in creating a huge data frame from MongoDB collection

I am using R for building a predictive model. My data is stored in mongoDB collections. So i connected to MOngoDB using R to get the data and creating a dataframe in R by converting the BSON values to list and storing about 64567 records using a cursor, which took about 15 minutes. 



Its taking more time to create the dataframe everyday. Did anyone over here worked in similar situations? How did you…

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Added by rupesh p on June 29, 2015 at 2:14pm — 2 Comments

Simplifies SQL-style Computations – Records Corresponding to Max Value

In developing database applications, usually it is the records corresponding to the max/min value that we need to retrieve, instead of the value itself. For example, the occasion in which each employee gets his/her biggest pay raise; the three lowest scores ever got in golf; the five days in each month when each product gets its highest sales amount; and so on. As the max function of SQL can only retrieve the max value, instead of the records to which the max…

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Added by Lynn Guo on December 1, 2014 at 6:05pm — No Comments

Habits of Highly Effective Data Professionals: “Beginning with the End in Mind”

In a post for Dataversity, I discussed the power of "Beginning with the End in Mind" for Data Professionals, Data Scientists, Business Analysts, and Technologists...

What if Steven Covey was a technologist, data professional, or data scientist?  Would the best-selling author–best known for promoting his ”…

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Added by Jaime Fitzgerald on March 6, 2012 at 12:19pm — No Comments

Clustering algorithm to approximate functions

The strategy is very easy to describe:

1. Divide the domain of your function in k sub intervals.

2. Initialize k monomials;

3. Consider the monomials as centroids of your clustering algorithm.

4. Assign the points of the function to each monomial in compliance to the cluster algo.

5. Use the gradient descent to adjust the parameters of each monomial.

6. Go to 4. until the accuracy is good enough.

Read the entire post at:…

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Added by Cristian Mesiano on December 15, 2011 at 11:00am — No Comments

Entry-Level Job Opportunity -- Begin Your Career in Analytics!

Job opportunity @ the intersection of Analytics, Data to Dollars(tm) best practices, & Web 2.0...MUST be hard worker, quantitatively inclined, and creative.


See details here for the…
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Added by Jaime Fitzgerald on May 28, 2010 at 11:30am — No Comments

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