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". The UAE 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.
NobleProg -- Your Local Training Provider
Testimonials
It was very interactive and more relaxed and informal than expected. We covered lots of topics in the time and the trainer was always receptive to talking more in detail or more generally about the topics and how they were related. I feel the training has given me the tools to continue learning as opposed to it being a one off session where learning stops once you've finished which is very important given the scale and complexity of the topic.
Jonathan Blease
Course: Artificial Neural Networks, Machine Learning, Deep Thinking
The trainer was so knowledgeable and included areas I was interested in.
Mohamed Salama
Course: Data Mining & Machine Learning with R
I genuinely liked excercises
L M ERICSSON LIMITED
Course: Machine Learning
I liked the lab exercises.
Marcell Lorant - L M ERICSSON LIMITED
Course: Machine Learning
The Jupyter notebook form, in which the training material is available
L M ERICSSON LIMITED
Course: Machine Learning
There were many exercises and interesting topics.
L M ERICSSON LIMITED
Course: Machine Learning
Some great lab exercises analyzed and explained by the trainer in depth (e.g. covariants in linear regression, matching the real function)
L M ERICSSON LIMITED
Course: Machine Learning
It's just great that all material including the exercises is on the same page and then it gets updated on the fly. The solution is revealed at the end. Cool! Also, I do appreciate that Krzysztof took extra effort to understand our problems and suggested us possible techniques.
Attila Nagy - L M ERICSSON LIMITED
Course: Machine Learning
It is showing many methods with pre prepared scripts- very nicely prepared materials & easy to traceback
Kamila Begej - GE Medical Systems Polska Sp. Zoo
Course: Machine Learning – Data science
I like that training was focused on examples and coding. I thought that it is impossible to pack so much content into three days of training, but I was wrong. Training covered many topics and everything was done in a very detailed manner (especially tuning of model's parameters - I didn't expected that there will be a time for this and I was gratly surprised).
Bartosz Rosiek - GE Medical Systems Polska Sp. Zoo
Course: Machine Learning – Data science
I like that it focuses more on the how-to of the different text summarization methods
Course: Text Summarization with Python
The trainer was a professional in the subject field and related theory with application excellently
Fahad Malalla - Tatweer Petroleum
Course: Applied AI from Scratch in Python
Ewa has a passion for the subject and a huge wealth of knowledge. She impressed all of us with her knowledge and kept us all focused through the day.
Rock Solid Knowledge Ltd
Course: Machine Learning – Data science
Even with having to miss a day due to customer meetings, I feel I have a much clearer understanding of the processes and techniques used in Machine Learning and when I would use one approach over another. Our challenge now is to practice what we have learned and start to apply it to our problem domain
Richard Blewett - Rock Solid Knowledge Ltd
Course: Machine Learning – Data science
So much breadth and topics covered. I felt it was a huge subject to try and cover in 3 days - the trainer did what they could to cover everything almost exactly on time!
Rock Solid Knowledge Ltd
Course: Machine Learning – Data science
The trainer very easily explained difficult and advanced topics.
Leszek K
Course: Artificial Intelligence Overview
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All like it
蒙 李
Course: Machine Learning Fundamentals with Python
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Communication with lecturers
文欣 张
Course: Artificial Neural Networks, Machine Learning, Deep Thinking
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like it all
lisa xie
Course: Artificial Neural Networks, Machine Learning, Deep Thinking
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Alternation theory / practice effective!
CIRAD
Course: Introduction to Machine Learning with MATLAB
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Progressive presentation and application of methods
Aurélien Briffaz - CIRAD
Course: Introduction to Machine Learning with MATLAB
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Availability and adaptability, answers to questions
Jean-Michel MEOT - CIRAD
Course: Introduction to Machine Learning with MATLAB
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Issues discussed, exercises carried out (examples), atmosphere of training, contact with the trainer, location.
Wojskowe Zakłady Uzbrojenia S.A. w Grudziądzu
Course: Octave not only for programmers
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I like that it focuses more on the how-to of the different text summarization methods
Course: Text Summarization with Python
SystemML Course Outlines in the UAE
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.
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