Occam's Razor
OCTOBER 14, 2014
'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.].
Edwin Chen
OCTOBER 6, 2014
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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Data Science and Beyond
OCTOBER 6, 2014
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.
Wise Analytics
OCTOBER 27, 2014
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.
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.
MLWhiz
OCTOBER 1, 2014
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.
Nutanix
OCTOBER 22, 2014
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.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Nutanix
OCTOBER 16, 2014
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.
Nutanix
OCTOBER 14, 2014
Simply put, Metro Availability policies complete the Data availability spectrum by enabling customers to seamlessly keep applications online even on full site disasters.
Nutanix
OCTOBER 14, 2014
Simply put, Metro Availability policies complete the Data availability spectrum by enabling customers to seamlessly keep applications online even on full site disasters.
Nutanix
OCTOBER 26, 2014
There’s no question that enterprise application usability has for the most part been left behind.
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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?
Nutanix
OCTOBER 14, 2014
There’s no question that enterprise application usability has for the most part been left behind.
Nutanix
OCTOBER 9, 2014
There’s no question that enterprise application usability has for the most part been left behind.
Nutanix
OCTOBER 7, 2014
There’s no question that enterprise application usability has for the most part been left behind.
Nutanix
OCTOBER 3, 2014
There’s no question that enterprise application usability has for the most part been left behind.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Data Science and Beyond
OCTOBER 22, 2014
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
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