Course Outline
Running SystemML
- Standalone
- Spark MLContext
- Spark Batch
- Hadoop Batch
- JMLC
Tools
- Debugger
- IDE
- Troubleshooting
Languages and ML Algorithms
- DML
- PyDML
- Algorithms
Requirements
- R
- Python
Testimonials (5)
The trainer showed that he has a good understanding of the subject.
Marino - EQUS - The University of Queensland
Course - Machine Learning with Python – 2 Days
Working from first principles in a focused way, and moving to applying case studies within the same day
Maggie Webb - Department of Jobs, Regions, and Precincts
Course - Artificial Neural Networks, Machine Learning, Deep Thinking
The enthusiasm to the topic. The examples he made an he explained it very well. Sympatic. A little to detailed for beginners. For managers, it could be more abstract in fewer days. But it was designed to fit and we had a good alignment in advance.
Benedikt Chiandetti - HDI Deutschland Bancassurance Kundenservice GmbH
Course - Machine Learning Concepts for Entrepreneurs and Managers
Convolution filter
Francesco Ferrara
Course - Introduction to Machine Learning
The trainer was so knowledgeable and included areas I was interested in.