Data Science and Machine Learning with Spark ML

In this course, learn how to implement Data Science and Machine Learning solutions for big data using Apache Spark in Microsoft Azure HDInsight. You will learn how to work with Scala or Python to cleanse and transform data, build machine learning models with Spark MLlib (the machine learning library in Spark), and create real-time machine learning solutions using Spark Streaming. Plus, find out how to use R Server on Spark to work with data at scale in the R language.

On successful Completion of the course you will be able to:

• Data Science and Machine Learning Overview
• Understand Data Science and Big Data Processing
• Understand Spark
• Making a Case for Spark
• Understand Major components of Spark programming
• Understand Major components of Spark programming
• Understand Major components of Spark programming
• Describe Spark MLlib and Data Types
• Describe Spark ML on Azure
• Describe Azure HDInsight Spark Clusters
• Spark MLlib Basic Statistics
• Understand Clustering on Spark
• Understand Regression on Spark
• Applying Regression and Classification on Spark