Halloween by the Numbers

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To enhance the spirit of the season, here are some Halloween Data from insideBIGDATA in the form of a frighteningly informative infographic – “Halloween by the Numbers.”

Data Science 101: Scalable Machine Learning with Apache Spark

In the presentation below, courtesy of the SF Machine Learning Meetup group in San Francisco, Xiangrui Meng introduces Spark and show how to use it to build fast, end-to-end machine learning workflows.

IBM Unveils Watson Explorer to Drive Better Business Outcomes

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IBM (NYSE: IBM) has announced the availability of a cognitive-infused Watson Explorer, a powerful combination of data exploration and content analytics capabilities. Watson Explorer equips users with the information and analytics capabilities which can help them to deliver better performance and real-time results.

BigPanda Brings Data Science to IT Incident Management

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BigPanda formally launched a new data science platform to automate IT Incident Management. BigPanda’s platform analyzes the flood of alerts that IT teams face every day and clusters them into high-level incidents.

Limited Budgets Slow Adoption of Crime Analytics

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When it comes to the U.S. law enforcement community’s practices and attitudes toward using crime-fighting software, roughly a third are using the technology in their departments, most would use it to combat drug-related crimes, yet the majority don’t have the budget to implement it, according to a recent survey by Wynyard Group.

New York Mets Sign SAS® to Lead Off Analytics Lineup

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The New York Mets and SAS, a leader in business analytics, has announced a partnership that will see the Club use SAS analytics to help analyze fan data at an individual level to engage with them in a meaningful way.

Quantium to Leverage the MapR Distribution including Hadoop for Real-Time Analysis

MapR Technologies, Inc., provider of a leading distribution for Apache™ Hadoop®, today announced that Quantium, the leading data analytics firm in Australia, has selected the MapR Distribution including Hadoop to perform rigorous analytics on large and complex data sets to generate rapid business insights for their clients, including many of Australia’s leading companies.

Ask a Data Scientist: Handling Missing Data

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Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who seeks a discussion of missing data handling methods such as imputation.

JKool Announces SaaS Solution for Quickly Capturing the Business Value of Big Data

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jKool, LLC has announced its new, software-as-a-service (SaaS) solution for analyzing Big Data in real time. JKool™ is designed to spot the patterns in data that lead to actionable insights.

Data Science 101: Mining Big Data with Apache Spark

In this presentation and interactive demo, you’ll learn about data mining workflows, the architecture and benefits of Spark, as well as practical use cases for the framework.