Data Science and Beyond

AUGUST 30, 2014

I’ve been a Bandcamp user for a few years now. I love the fact that they pay out a significant share of the revenue directly to the artists, unlike other services. In addition, despite the fact that fans may stream all the music for free and even easily rip it, almost $80M were paid out to artists through Bandcamp to date (including almost $3M in the last month) – serving as strong evidence that the traditional music industry’s fight against piracy is a waste of resources and time.

IT 52

IT 52

Edwin Chen

AUGUST 13, 2014

I love studying users and products, and think data science can be extremely useful in guiding product/strategy as a whole. So I thought it would be fun to depart from the usual machine learning and engineering things I write about, and do a quick study of Airbnb. Think of this like business analysis, or strategy – from a data science point of view. (It's in slide deck form , of course, because that's how these things roll.).

Business Analysis 45

Business Analysis Machine Learning Data Science Strategy 45

Nutanix

AUGUST 22, 2014

If you are preparing for your VCDX examination, or even just interested in getting started, Nutanix invites you to come by the VCDX Study Lounge on Sunday at VMworld 2014 in San Francisco.

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Occam's Razor

AUGUST 11, 2014

'My last post, perhaps provocatively, called for a reduction of data in executive dashboards (digital, online, offline). More English (IABI, specifically) would lead to a smarter understanding of performance, and of course glory for data practitioners. Here's the post: Strategic & Tactical Dashboards: Best Practices, Examples. In the post Adil commented that he's observed that attribution modeling is missing from most web analytics dashboards.

Metrics 147

Metrics Dashboards Key Performance Indicator B2B 147

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.

Management

Data Science and Beyond

AUGUST 24, 2014

Last week, I gave a talk at the Data Science Sydney Meetup group about some of the lessons I learned through almost winning five Kaggle competitions. The core of the talk was ten tips, which I think are worth putting in a post (the original slides are here). Some of these tips were covered in my beginner tips post from a few months ago. Similar advice was also recently published on the Kaggle blog – it’s great to see that my tips are in line with the thoughts of other prolific kagglers.

Data Science 40

Data Science Publishing IT 40

Nutanix

AUGUST 27, 2014

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

Enterprise 20

Enterprise 20

Nutanix

AUGUST 22, 2014

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

Enterprise 20

Enterprise 20

Nutanix

AUGUST 21, 2014

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

Enterprise 20

Enterprise 20

Nutanix

AUGUST 20, 2014

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

Enterprise 20

Enterprise 20

Nutanix

AUGUST 21, 2014

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Nutanix

AUGUST 21, 2014

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Nutanix

AUGUST 21, 2014

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Nutanix

AUGUST 8, 2014

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Nutanix

AUGUST 8, 2014

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Visualization

Nutanix

AUGUST 8, 2014

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Nutanix

AUGUST 7, 2014

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Edwin Chen

AUGUST 14, 2014

Imagine you just started a job at a new company. You watched World War Z recently, so you're in a skeptical mood, and given that your last two startups failed from what you believe to be a lack of data, you're giving everything an extra critical eye. You start by thinking about the impact of the sales team. How much extra revenue are they generating for the company?

Modeling 75

Modeling Measurement Sales Testing 75

Data Science and Beyond

AUGUST 17, 2014

One of my favourite blog posts in recent times is The Log: What every software engineer should know about real-time data’s unifying abstraction by Jay Kreps. That post comprehensively describes how abstracting all the data produced by LinkedIn’s various components into a single log pipeline greatly simplified their architecture and enabled advanced data-driven applications.

Data-driven 52

Data-driven Software 52

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.

Experimentation