Machine Learning with Mahout-Edureka

This course will introduce you to the fundamentals of machine learning, and where Mahout fits in the Hadoop ecosystem. The course will provide a blend of Machine Learning Techniques, recommendation system, and Mahout on Hadoop and Amazon EMR.

Who should go for this course?

This course is designed for all those who are interested in learning Big Data technologies and write intelligent applications using Apache Mahout.

Pre-requisites:

Some of the prerequisites for learning Apache Mahout are familiarity with Hadoop framework and other ecosystem components. Also, having a mathematical background with Beginner level Java development knowledge will be an added advantage. The basic Java and Hadoop knowledge is recommended and not mandatory as these concepts will also be covered during the course.

Why learn Machine Learning with Mahout?

In the modern information age of exponential data growth, the success of companies and enterprises depends on how quickly and efficiently they turn vast amounts of data into actionable information. Whether it’s for processing hundreds or thousands of personal e-mail messages a day or driving user intent from petabytes of weblogs, the need for tools that can organize and enhance data has never been greater. Therein lies the premise and the promise of the field of machine learning and Apache Mahout.

Duration:

Online classes: 24 Hours

Lab Hours: 30 Hours

Project: 18 hours

Mode: Online

Part Time/Full Time: Part Time

Upcoming Batches:

Apache Mahout