Machine Learning with Apache Spark

OverviewThis On Demand course will teach you about popular machine Learning algorithms and their implementation in Apache Spark. You will learn how various machine Learning concepts are implemented in the context of Spark ML. You will start by installing Spark in a single and multinode cluster. Next you'll see how to execute Scala and Python based programs for Spark ML. Then we will take a few datasets and go deeper into clustering, classification, and regression. Toward the end of this course, we will also cover text processing using Spark ML. By the end of this course, you will acquire the skills to leverage Apache Spark's features to create your own scalable machine Learning applications and power modern data-driven business.Objectives

Upon completion of this event you will:

• Get hands-on with the latest version of Spark ML
• Create your first Spark program with Scala and Python
• Set up and configure a development environment for Spark on your own computer, as well as on Amazon EC2
• Access public machine Learning datasets and use Spark to load, process, clean, and transform data
• Use Spark's machine Learning library to implement programs by utilizing well-known machine Learning models
• Deal with large-scale text data, including feature extraction and using text data as input to your machine Learning models
• Write Spark functions to evaluate the performance of your machine Learning models

FurtherinfoIf you have a basic knowledge of machine Learning and want to implement various machinE-learning concepts in the context of Spark ML, this course is for you. You should be well versed with the Scala and Python languages.