NOTE: As of the first week of July 2017 we will archive this Version 1 Engine Courses and will release our Persona Based Engine Courses which are focused more on the functionality you will need depending on your specific role. Please check back during the first week of July for the new course list.
Qubole Education Spark Machine Learning is an in depth look at the Spark Machine Learning Library (MLlib) and the Recommendation Library supported by the Alternating Least Squares algorithm. The discussion will outline the use case and how to use a Qubole Notebook to develop, analyze and use a model. The discussion will also explore additional functionality available to the MatrixFactorizationModel object supported by the Spark MLlib Library.
Qubole Education Spark Machine Learning contains “Try It” sections which contain instructions that can be followed inside of a personal account. It will be necessary to upload to S3 the datasets from the ml-20 file from http://grouplens.org/data
Qubole Education Spark Machine Learning contains quiz questions after several of the lessons – it will be necessary to answer the quiz questions to complete the lessons and the course.
- User 101
- Spark 101
- Spark 201
Estimated Time: 45 to 60 minutes