Visualization of Data and Models

Anyone who is curious to find the stories hidden in data or wants to explore data and communicate discoveries to others effectively. Anyone who understands the value of modeling to create better products, services and processes...
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Spotlight

Hospitals and health systems are pursuing predictive analytics to transform patient care, but face di culty predicting future outcomes due to challenges with interoperability and talent. That’s according to a 2018 survey of health care business and IT leaders conducted by HIMSS Media for the Center for Connected Medicine. HERE’S WHERE THEY STAND: DATA ANALYTICS USE. 69% More effective using data to describe past health events.


OTHER ON-DEMAND WEBINARS

Reducing IT Service Disruption Through Text Analytics

RapidMiner

Due to the sheer volume of data collected by IT organizations, many failures are only detected after they occur. Hidden insights are often trapped as errors in log files that are noticed too late, after time has passed. Watch this webinar to learn how RapidMiner’s predictive analytics platform allows you to create predictive models to prevent service disruptions going forward using text analytics and root-cause analysis.
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Informatica Big Data Management Deep Dive and Demo

Hadoop is not just for play anymore. Companies that are turning petabytes into profit have realized that Big Data Management is the foundation for successful Big Data projects. Informatica Big Data Management delivers the industry’s first and most comprehensive solution to natively ingest, integrate, clean, govern, and secure big data workloads in Hadoop. In this webinar you’ll learn through in depth product demos about new features that help you increase productivity, scale and optimize performance, and manage metadata…
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Enabling Exploratory Analysis of Large Data with Apache Spark and R

Databricks Inc

R has evolved to become an ideal environment for exploratory data analysis. The language is highly flexible - there is an R package for almost any algorithm and the environment comes with integrated help and visualization. SparkR brings distributed computing and the ability to handle very large data to this list. SparkR is an R package distributed within Apache Spark. It exposes Spark DataFrames, which was inspired by R data.frames, to R. With Spark DataFrames, and Spark’s in-memory computing engine, R users can interactively analyze and explore terabyte size data sets.
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Machine Learning Overview

In this on-demand webinar, SAS data scientist Patrick Hall will discuss the principles of machine learning, the multidisciplinary nature of data analysis and the traditional methods used in machine learning applications…
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Spotlight

Hospitals and health systems are pursuing predictive analytics to transform patient care, but face di culty predicting future outcomes due to challenges with interoperability and talent. That’s according to a 2018 survey of health care business and IT leaders conducted by HIMSS Media for the Center for Connected Medicine. HERE’S WHERE THEY STAND: DATA ANALYTICS USE. 69% More effective using data to describe past health events.

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