July, 2012

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Web Analytics Consulting: A Simple Framework For Smarter Decisions

Occam's Razor

As I've gotten older I've come to appreciate the value of frameworks a lot more. When we are young, the answers to everything are simpler because, of course, we know everything. What metrics should I use? Use BR & CV. What digital marketing works? Definitely Y, do that. How can I improve my business? Simple, do A then B and you're done.

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Soda vs. Pop with Twitter

Edwin Chen

One of the great things about Twitter is that it’s a global conversation anyone can join anytime. Eavesdropping on the world, what what! Of course, it gets even better when you can mine all this chatter to study the way humans live and interact. For example, how do people in New York City differ from those in Silicon Valley? We tend to think they’re more financially driven and restless with the world – is this true, and if so, how much more ?

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Nutanix Complete Cluster-Product Updates

Nutanix

Nutanix is adding new product features at a rapid pace. I want to pause and take some time to talk about the advancements our engineering team has made.

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Wake Me Up When You Are Ready To Talk CapEx

Nutanix

The title of this entry is an actual quote from a recent meeting I had with a customer.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Edge Prediction in a Social Graph: My Solution to Facebook's User Recommendation Contest on Kaggle

Edwin Chen

A couple weeks ago, Facebook launched a link prediction contest on Kaggle, with the goal of recommending missing edges in a social graph. I love investigating social networks , so I dug around a little, and since I did well enough to score one of the coveted prizes, I’ll share my approach here. (For some background, the contest provided a training dataset of edges, a test set of nodes, and contestants were asked to predict missing outbound edges on the test set, using mean average precisio

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