Apache SystemML Training Courses in Denmark

Apache SystemML Training Courses

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". Denmark onsite live Apache SystemML trainings can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is carried out by way of an interactive, remote desktop.

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SystemML Course Outlines in Denmark

Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
Overview
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.

Audience

This course is suitable for Machine Learning researchers, developers and engineers seeking to utilize SystemML as a framework for machine learning.

Upcoming SystemML Courses in Denmark

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We are looking for a good mixture of IT and soft skills in Denmark!

As a NobleProg Trainer you will be responsible for:

  • delivering training and consultancy Worldwide
  • preparing training materials
  • creating new courses outlines
  • delivering consultancy
  • quality management

At the moment we are focusing on the following areas:

  • Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
  • SOA, BPM, BPMN
  • Hibernate/Spring, Scala, Spark, jBPM, Drools
  • R, Python
  • Mobile Development (iOS, Android)
  • LAMP, Drupal, Mediawiki, Symfony, MEAN, jQuery
  • You need to have patience and ability to explain to non-technical people

To apply, please create your trainer-profile by going to the link below:

Apply now!

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