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Featured Blog Posts – October 2015 Archive (108)

Time Series IoT applications in Railroads

Time Series IoT applications in Railroads

Authors: Vinay Mehendiratta, PhD, Director of Research and Analytics at Eka Software

and Ajit Jaokar, Data Science for IoT course  

 

This blog post is part of a series of blogs exploring Time Series data and IoT.

The content and approach are part of the Data Science for Internet of…

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Added by ajit jaokar on October 4, 2015 at 12:18pm — No Comments

Inferential Modeling and Application of Analogs

When discussing the use of algorithms, the issue of durability or portability has to be considered. For example, a stock trading algorithm might be used in a missile guidance system. The algorithm would have to operate on an abstract kinetic level rather than for a specific application. I have written in the past about using the same algorithm to study stocks, earthquakes, hurricanes, electro-cardiograms, and attempts at evasion - using my mouse in a game environment. Wouldn't an abstraction…

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Added by Don Philip Faithful on October 4, 2015 at 7:17am — No Comments

So it begins.

I spent way too much time sorting through all the information collected on Data Science.  All I knew in the beginning is that it had something to do with math and statistics and algorithms (which are love), and computers (which are hate not so much love).  It's finally starting to fall into place.  I made a preliminary list of all the things I should learn.  In the process, I stumbled upon Clare Corthell's "Open Source Data Science Master's…

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Added by Elma Bratovic on October 3, 2015 at 9:37pm — No Comments

Who are alike? Use BigObject feature vector to find similarities

Cluster Analysis is a common technique to group a set of objects in the way that the objects in the same group share certain attributes. It’s commonly used in marketing and sales planning to define market segmentations.



Here at BigObject we adopt a simple approach to exploring the similarities between…

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Added by Yuanjen Chen on October 2, 2015 at 1:21pm — No Comments

Linear Algebra Formulas for Econometrics

Econometrics is fundamental to many of the problems that data scientists care about, and it requires many skills. There's philosophical skill, for thinking about whether fixed effects or random effects models are more appropriate, for example, or what the direction of causality in a particular problem is. There's some coding, including knowing the right commands to interact with statistical programs like Stata or R, and how to interpret their output. There's the intuition to know which…

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Added by Bradford Tuckfield on October 1, 2015 at 2:30pm — 1 Comment

All you need to know about Hadoop

Source: http://www.edureka.co/blog/hadoop-tutorial/

Named after a kid’s toy elephant and initially recognized as a technical problem, today it drives a market that’s expected to be worth $50 billion by 2020. It is the most talked about technology since its inception as it allows some of the world’s largest companies to store and process data sets on clusters of commodity hardware.…

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Added by Durgesh Kaushik on October 1, 2015 at 9:00am — No Comments

Feature Engineering Tips for Data Scientists and Business Analysts

Most data scientists and statisticians agree that predictive modeling is both art and  science yet, relatively little to no  air time is given to describing the art. This post describes one piece of the art of modeling called feature engineering which expands the number of variables you have to build a model.  I offer  six ways to implement feature engineering and provide…

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Added by Patti Tillotson on October 1, 2015 at 5:42am — 2 Comments

Game Of Thrones - The Customer Trap and CDM (Channel Data Management)

"In that darkness the White Walkers came for the first time. They swept through cities and kingdoms, riding their dead horses, hunting with their packs of pale spiders big as hounds." - Old Nan

Like millions of other people, last night’s sleep was a little harder to come by after watching the latest episode of "Game Of Thrones". The final 20 minutes of the episode entitled…

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Added by Shubhi Gupta on October 1, 2015 at 1:00am — No Comments

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