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". Onsite live Apache SystemML trainings in York 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 York. Accessible conference space centrally located in the heart of York,within easy walking distance from York railway station.
Standard lunch is a mixture of vegetarian and non-vegetarian food, which can be tailored to individual requirements and we can offer catering for a wide range of specialist dietary, cultural or religious needs. Where possible, we ask our suppliers to source fair trade or local produce that is organic, free range and GM free.
Address: 15 Priory Street, York, YO1 6ET... 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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