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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
14 Hours
Testimonials (5)
Ćwiczenia praktyczne.
Adam Borowski - NetWorkS! Sp. z o.o.
Course - AI Awareness for Telecom
Trener bardzo zrozumiale wytłumaczył trudne i zaawansowane tematy.
Leszek K
Course - Artificial Intelligence Overview
That it was applying real company data. Trainer had a very good approach by making trainees participate and compete
Jimena Esquivel - Zakład Usługowy Hakoman Andrzej Cybulski
Course - Applied AI from Scratch in Python
The details and the presentation style.
Cristian Mititean - Accenture Industrial SS
Course - Azure Machine Learning (AML)
Working from first principles in a focused way, and moving to applying case studies within the same day