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 training can be carried out locally on customer premises in Cambridge or in NobleProg corporate training centres in Cambridge. 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 Cambridge. Vision Park is within easy reach of
Cambridge city centre and has the
advantage of excellent links with the
M11 and A14.
Trains from London Kings Cross arrive every 30 minutes, with a 15 minute journey by taxi to the Park. Histon Railway Station is on the boundary of Vision Park, which provides high quality, frequent local transport from St Ives to Cambridge.
Vision Park lies alongside the Cambridgeshire Guided Bus which offers fast and frequent buses from Histon to... 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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