October, 2014

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Benchmarking Performance: Your Options, Dos, Don'ts and To-Die-Fors!

Occam's Razor

'We are all blessed with more data than we know what to do with, and all for the price of a few lines of JavaScript added to your website. In this type of an environment, I've frequently stressed the value of identifying targets for your key performance indicators. [See step four in the process for creating your Digital Marketing and Measurement Model.].

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Moving Beyond CTR: Better Recommendations Through Human Evaluation

Edwin Chen

Imagine you're building a recommendation algorithm for your new online site. How do you measure its quality, to make sure that it's sending users relevant and personalized content? Click-through rate may be your initial hope…but after a bit of thought, it's not clear that it's the best metric after all. Take Google's search engine. In many cases, improving the quality of search results will decrease CTR!

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Greek Media Monitoring Kaggle competition: My approach

Data Science and Beyond

A few months ago I participated in the Kaggle Greek Media Monitoring competition. The goal of the competition was doing multilabel classification of texts scanned from Greek print media. Despite not having much time due to travelling and other commitments, I managed to finish 6th (out of 120 teams). This post describes my approach to the problem. Data & evaluation The data consists of articles scanned from Greek print media in May-September 2013.

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Understanding Business Requirements Are Essential For Analytics Projects

Wise Analytics

Analytics projects and the associated data preparation, storage, and management require continual effort. Sometimes mid-market organizations have a good sense of what they want to achieve and how they need to get there, but overlook the value of gathering in-depth business and technical requirements before diving into software and hardware selection.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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Data Science 101 : Playing with Scraping in Python

MLWhiz

This is a simple illustration of using Pattern Module to scrape web data using Python. We will be scraping the data from imdb for the top TV Series along with their ratings We will be using this link for this: [link] This URL gives a list of top Rated TV Series which have number of votes atleast 5000. The Thing to note in this URL is the “&start=” parameter where we can specify which review should the list begin with.

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Nutanix Simplicity reaches Microsoft System Center

Nutanix

We recently wrote a set of blogs about our integration with Windows Server 2012 R2, Hyper-V and the Microsoft ecosystem. The first post detailed our integration with Hyper-V and the strategic value of our partnership with Microsoft.

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Web-Scale Wish: A Non-Profit Datacenter Makeover

Nutanix

The right technology in the right hands has the power to change lives and organizations. This holiday season, Nutanix will gift web-scale converged infrastructure to a non-profit organization chosen by you, our community.

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Nutanix Metro Availability

Nutanix

Simply put, Metro Availability policies complete the Data availability spectrum by enabling customers to seamlessly keep applications online even on full site disasters.

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Nutanix Metro Availability

Nutanix

Simply put, Metro Availability policies complete the Data availability spectrum by enabling customers to seamlessly keep applications online even on full site disasters.

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Microsoft TechEd Barcelona Meets Web-Scale with Nutanix!

Nutanix

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

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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Announcing the Nutanix Technology Champion (NTC) Program

Nutanix

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

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Announcing Nutanix Metro Availability

Nutanix

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

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Announcing.NEXT 2015, the Web-Scale Conference

Nutanix

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

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Reminder: VCDX Study Workshop for Mock Defenses at VMware HQ (Oct 4-5)

Nutanix

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

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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What is data science?

Data Science and Beyond

Data science has been a hot term in the past few years. Despite this fact (or perhaps because of it), it still seems like there isn't a single unifying definition of data science. This post discusses my favourite definition. Data Scientist (n.): Person who is better at statistics than any software engineer and better at software engineering than any statistician. — Josh Wills (@josh_wills) May 3, 2012 One of my reasons for doing a PhD was wanting to do something more interesting than “vani