The Unofficial Google Data Science Blog
OCTOBER 31, 2016
By PATRICK RILEY For a number of years, I led the data science team for Google Search logs. We were often asked to make sense of confusing results, measure new phenomena from logged behavior, validate analyses done by others, and interpret metrics of user behavior. Some people seemed to be naturally good at doing this kind of high quality data analysis.
ScienceSoft
OCTOBER 21, 2016
No more abstract patient engagement talks. Healthcare data analytics shows the way into transforming the level of patients' involvement in their health into a measurable value.
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MLWhiz
OCTOBER 26, 2016
It has been quite a few days I have been working with Pandas and apparently I feel I have gotten quite good at it. (Quite a Braggard I know) So thought about adding a post about Pandas usage here. I intend to make this post quite practical and since I find the pandas syntax quite self explanatory, I won’t be explaining much of the codes. Just the use cases and the code to achieve them.
Jenny Sussin
OCTOBER 17, 2016
Over the last week, there have been a series of articles dumping on one particular social media monitoring application that was allegedly using an unethical value proposition to market its solution: surveillance. As one of Gartner’s social analytics analysts I’ve got to tell you, the tools that each vendor offers to the market could allow the exact same type of use.
Speaker: John Mansour
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In(tegrate) the Clouds
OCTOBER 7, 2016
As the data visualization, big data, Hadoop, Spark and self-service hype gives way to IoT, AI and Machine Learning, I dug up an old parody post on the business intelligence market circa 2007-2009 when cloud analytics was just a disruptive idea. Here’s the post in it’s entirety (with apologies to Billy Joel). Lots of companies here that I had forgotten about.
Nutanix
OCTOBER 25, 2016
Despite the best laid plans, incidents occur that can impact the services delivered by IT. If the issue is not easily diagnosed using system alerts, then a variety of techniques must be used.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Nutanix
OCTOBER 25, 2016
Nutanix has developed and leverages a number of software automations and best practices designed to ensure that you not only get the best possible performance and availability but also leverage the least amount of resources to do so.
Nutanix
OCTOBER 17, 2016
Take into consideration the history of technology and the decades worth of sprawling infrastructure, from the mainframe to the client-server/distributed computing era and beyond, and you get a sense of the magnitude of the situation that Mr. Scott is trying to transform.
Nutanix
OCTOBER 14, 2016
This year more than 2,500 leading IT professionals joined us in June for the unforgettable.NEXT Las Vegas conference. Now the only event dedicated to the latest in data center and enterprise cloud technologies is coming to Europe for the first time.
Nutanix
OCTOBER 14, 2016
This year more than 2,500 leading IT professionals joined us in June for the unforgettable.NEXT Las Vegas conference. Now the only event dedicated to the latest in data center and enterprise cloud technologies is coming to Europe for the first time.
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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 31, 2016
There’s no question that enterprise application usability has for the most part been left behind.
Nutanix
OCTOBER 27, 2016
There’s no question that enterprise application usability has for the most part been left behind.
Nutanix
OCTOBER 25, 2016
There’s no question that enterprise application usability has for the most part been left behind.
Nutanix
OCTOBER 20, 2016
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.
Nutanix
OCTOBER 19, 2016
There’s no question that enterprise application usability has for the most part been left behind.
Nutanix
OCTOBER 12, 2016
At Nutanix, 2016 has been an exceptional year of growth and success.
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