Apache SystemML for Machine Learning Training Course
14 hours (usually 2 days including breaks)
Apache SystemML is a distributed and declarative machine learning platform.
SystemML provides declarative large-scale machine learning (ML) that aims at flexible specification of ML algorithms and automatic generation of hybrid runtime plans ranging from single node, in-memory computations, to distributed computations on Apache Hadoop and Apache Spark.
This course is suitable for Machine Learning researchers, developers and engineers seeking to utilize SystemML as a framework for machine learning.
- Spark MLContext
- Spark Batch
- Hadoop Batch
Languages and ML Algorithms
Bookings, Prices and Enquiries
|Number of Delegates||Private Remote|
|Number of Delegates||Public Classroom|
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