Cloudera University OnDemand Introduction to Machine Learning with Spark ML and MLlib

Summary

This course includes video lectures, assessments, and hands-on exercise access. The course provides an introduction to Machine Learning, including coverage of collaborative filtering, clustering, classification, algorithms, and data volume. The course also covers Spark MLlib topics including data types, statistics support, feature extraction, transforming vectors, using the StandardScaler class, an overview of dimensionality reduction, machine learning models, regression, linear regression support, and regularization. Finally, the course discusses machine learning with Spark ML topics such as using data frames, transformers and estimators, an introduction to pipelines, using pipelines to generate models, and regularization.

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Description



Subscription Details

This OnDemand offering provides you with a 180-day subscription** that begins on the date of purchase. While the subscription is active, you will have access to the course training materials which includes recorded tutorials, demonstrations as well as access to a virtual lab environment to complete the student exercises. Lab time is limited to 5 hours for this course offering.

 

**Some exclusions apply. See Terms and Conditions for more information.

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