Course not currently available
Apache SystemML for Machine Learning Training Course
Course
Online
Description
-
Type
Course
-
Methodology
Online
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.
Audience
This course is suitable for Machine Learning researchers, developers and engineers seeking to utilize SystemML as a framework for machine learning.
About this course
R
Python
Reviews
Subjects
- Artificial Intelligence
- Apache
- Algorithms
- Technology
Course programme
We have hundreds of courses across multiple areas. But briefly, we can distinguish following major branches of courses and consultancy:
Artificial Intelligence
Management
Information Technology
Applied Science
Running SystemML
- Standalone
- Spark MLContext
- Spark Batch
- Hadoop Batch
- JMLC
Tools
- Debugger
- IDE
- Troubleshooting
Languages and ML Algorithms
- DML
- PyDML
- Algorithms
Additional information
Apache SystemML for Machine Learning Training Course
