1. CVSS Under Fire: How to Solve The Prioritization Problem


    from Kenna Added 67 0 0

    In the landscape of vulnerability management, you know that effective prioritization of vulnerabilities is the difference between "playing the numbers game" and truly being an InfoSec rock star. But too often, our primary resource--the CVSS--is relied on too heavily, with disastrous consequences. Michael Roytman, Chief Data Scientist at Kenna, will explain what IT security professionals miss by placing too much trust in CVSS when it comes to prioritization efforts. He will also explain what information should absolutely be taken into consideration in order to focus on vulnerabilities posing the greatest risk. Topics covered include: - Why CVSS sometimes gets it wrong - Specific examples of serious exploits being given low scores - What IT security professionals should do to supplement CVSS - How the proper use of threat intelligence can accelerate your vuln management program

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    • CRUNCH Practical BigData Conference / 28-30 October 2015 / Budapest


      from Conferences Added 162 1 0

      Europe’s most exciting, most practical and friendly priced Big Data conference CRUNCH, dedicated to data engineers, data scientists or leaders of any data driven companies between 28-30 October in Budapest. The program includes 4 practical workshops, and a very promising line-up of 15 speakers: Doug Cutting - Father of Hadoop, Alistair Croll - Author of the best selling book Lean Analytics, and other data professionals from companies like Cloudera, Pinterest, SurveyMonkey, Spotify and Skyscanner will share their best practices and insights. Read more about their talks at http://crunchconf.com/#speakers. Tickets and more info: www.crunchconf.com HIDDEN PROMO CODE: CrunchFacebookFriend (means 20$ off form Regular priced tickets at http://crunchconf.com/#tickets) A non-profit conf, Organized by Prezi and Ustream

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      • Brushing and linking to explore Statistics graduate program rankings


        from Di Cook Added 1 0 0

        This video uses the R package cranvas to explore data. Multiple linked plots are displayed and used on different aspects of the data, and the results from doing a cluster analysis of the ranking variables. The data contain 2012 National Research Council rankings of statistics graduate programs, the ranks and variables collected to help determine ranks.

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        • DSC Webinar Series: When is the right time for real-time? Architectural best practices for Hadoop


          from Tim Matteson Added 47 0 0

          Real-time processing is an important part of your Hadoop architecture, but is it always the best approach to analytics? Join us for our latest DSC Webinar with experts from MapR and Think Big, as we delve into the decision making process around Hadoop real-time and batch processes. You will learn the ins and outs of low-latency design for analytics, as well as see how these designs get implemented in the real world. You will learn: Useful design patterns for building your Hadoop stack that best serves low-latency requirements Pitfalls to avoid when choosing your real-time processing option Real customer examples highlighting decision-making processes for both real-time and batch processing Panelist: Steve Wooledge, Vice President, Product Marketing -- MapR Bill Kornfeld Director, R&D -- Think Big, a Teradata Company Hosted by: Bill Vorhies, Editorial Director -- Data Science Central

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          • DSC Webinar Series: How Do We Know That? An Introduction to Visualization Research


            from Tim Matteson Added 134 0 0

            Pie charts are bad, right? Bar charts are good, but stacked bars aren’t. And there are lots of other things you have probably heard. But how do we know those things? There is a very active research community that is looking into these questions and trying to find out what works and what doesn’t, how well we can see and compare certain things, etc. In this next DSC Webinar, we will give a brief overview of some of the early roots of visualization research, as well as some of the very fundamental research that has led us to where we are right now. In addition, we will show some of the open questions that we are only starting to address. Speaker: Robert Kosara, Research Scientist --Tableau Software Hosted by: Bill Vorhies, Senior Contributing Editor -- Data Science Central

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            • Pivotal Connected Car Demo


              from Michael Natusch Added 44 0 0

              The final (?) version of our Connected Car demo. Lower on tech and methodology, higher on effects and marketing. Shows how we used Data Science on the Pivotal platform to predict where cars are going to drive to. An example of real-time scoring of streaming data.

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              • How to analyse data without coding? [DS Studio demo]


                from CodiLime Added 231 0 0

                DS Studio, a machine-learning platform for data scientists and developers, is tightly integrated with Hadoop and underpinned by Spark as its computational backbone. It allows the user to describe complete data science workflows using a code-free graphical user interface (accessible through a browser). Such flows (called “experiments”) can be executed within the cluster, using distributed machine-learning algorithms under the hood. Experiment results can be visualized, reviewed and exported. DS Studio supports most of the common data sources including relational and non-relational databases, as well as HDFS.

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                • Introducing VEDO Intent: Machine Learning for the Masses


                  from DataSift Added

                  Social data has evolved. Everyone from financial institutions through to the United Nations rely on this data to make informed decisions, yet companies are still struggling to gain nuanced insights from social data because identifying intent has relied on manual reading and classification by hand. VEDO Intent is a new technology that significantly simplifies machine learning and helps developers place it into the hands of people across the business. For the first time, organizations will be able to harness the full potential of social data and take action based on the intent of their audiences thanks to our advanced machine learning capabilities that surface intent at scale. Sign up to get a first look in this webinar where you will learn: How VEDO Intent automatically categorize social data based on its meaning About our Active Learning approach which learns as posts are manually classified into categories Which people in your business will be able to build advanced machine learning based classifiers (hint: you don’t need a PhD!) This live webinar will be hosted by Tim Barker, Chief Product Officer at DataSift. Spaces are limited to allow for audience questions and participation.

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