Sat.Sep 20, 2014 - Fri.Sep 26, 2014

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Salvaging the Pie

Darkhorse

The poor, maligned 3D pie chart. He is so popular among the common folk, but put him next to his peers and his vacant stare betrays (not entirely unfounded) feelings of insecurity and inadequacy. Sometimes the only way to address such feelings is to let go of your inhibitions and do something unexpected. He has value hidden away, we're sure of it. And so, for the third installment in our Data Looks Better Naked series, we are recommending that the 3D pie do what the bar chart and table have done

IT 112
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Hadoop, Mapreduce and More – Part 1

MLWhiz

It has been some time since I was stalling learning Hadoop. Finally got some free time and realized that Hadoop may not be so difficult after all. What I understood finally is that Hadoop is basically comprised of 3 elements: A File System Map – Reduce Its many individual Components. Let’s go through each of them one by one. 1. Hadoop as a File System: One of the main things that Hadoop provides is cheap data storage.

IT 40
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Applying the Traction Book’s Bullseye framework to BCRecommender

Data Science and Beyond

This is the fourth part of a series of posts on my Bandcamp recommendations (BCRecommender) project. Check out previous posts on the general motivation behind this project, the system's architecture, and the recommendation algorithms. Having used BCRecommender to find music I like, I’m certain that other Bandcamp fans would like it too. It could probably be extended to attract a wider audience of music lovers, but for now, just getting feedback from Bandcamp fans would be enough.

IT 40
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The importance of BI specific skill sets

Wise Analytics

BI implementations are becoming more commonplace as organizations realize they cannot overlook the management of and access to their data in order to facilitate better decision-making. What this means for many is the re-evaluation of resources, skill sets, and project planning to ensure that the proper resources exist to support BI and analytics development.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Dresner's Point: Organizations Need to Eliminate Data Sheep in BI

Howard Dresner

Perhaps a tag with “some assembly required” should be attached to business intelligence analytics tools. We just released in July our Advanced and Predictive Analytics Market Study report in our Wisdom of Crowds series, and I wanted to explore the topic in more depth in one of my recent Friday #BIWisdom tweetchats. Our market survey found that awareness of the importance of BI analytics is high (90 percent), but adoption of analytics tools is in the early stages of deployment even though many of

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Prism Element and Prism Central Walkthrough

Nutanix

There’s no question that enterprise application usability has for the most part been left behind.