Episode
Leverage R and Spark in Azure HDInsight for scalable machine learning
with Bill Jacobs
Data scientists and data engineers have jobs of the 21st century. These are the people who are supposed to deliver on the promises of big data and advances in AI. In IT organizations this translates to important use cases around fraud detection, time series analysis and predictive maintenance. In this session we explore the world of parallelized ML algorithms offered by Microsoft Azure HDInsight service with R Server and SparkML library. We also cover advanced algorithms like deep neural network libraries available in the broader Spark ecosystem.
Data scientists and data engineers have jobs of the 21st century. These are the people who are supposed to deliver on the promises of big data and advances in AI. In IT organizations this translates to important use cases around fraud detection, time series analysis and predictive maintenance. In this session we explore the world of parallelized ML algorithms offered by Microsoft Azure HDInsight service with R Server and SparkML library. We also cover advanced algorithms like deep neural network libraries available in the broader Spark ecosystem.
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