Local, instructor-led live Apache SystemML training courses demonstrate through interactive discussion and hands-on practice the fundamentals and advanced topics of Apache SystemML.
Apache SystemML training is available as "onsite live training" or "remote live training". Reading onsite live Apache SystemML trainings can be carried out locally on customer premises or in NobleProg corporate training centres. Remote live training is carried out by way of an interactive, remote desktop.
NobleProg -- Your Local Training Provider
Learn Apache SystemML in our training center in Reading. The Thames Valley Park business centre is in a prestigious, modern 200-acre business park and nature reserve idyllically positioned close to the south bank of the River Thames on the east side of Reading. The city has a significant historical involvement in the information technology industry and this attractive and highly sought-after location is home to an impressive array of well-known information technology companies. It is the UK headquarters for a world-leading software giant as well as a... Read more
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Course: Python for Advanced Machine Learning
the lab exercises
Marcell Lorant - L M ERICSSON LIMITED
Course: Machine Learning
L M ERICSSON LIMITED
Course: Machine Learning
way of conducting and example given by the trainer
ORANGE POLSKA S.A.
Course: Machine Learning and Deep Learning
All like it
Course: Machine Learning Fundamentals with Python
The trainer very easily explained difficult and advanced topics.
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.
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