Online or onsite, instructor-led live RapidMiner training courses demonstrate through interactive hands-on practice how to use RapidMiner Studio for data preparation, machine learning, and predictive model deployment.
RapidMiner training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live RapidMiner trainings in Luxembourg City can be carried out locally on customer premises or in NobleProg corporate training centers.
Learn RapidMiner in our training center in Luxembourg City. The financial center and the touristic sites are really close.
Easy access to The EU-district and the International Airport Findel-Luxembourg by public buses. Read more
Testimonials
★★★★★
★★★★★
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
There were many exercises and interesting topics.
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
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 liked the lab exercises.
Marcell Lorant - L M ERICSSON LIMITED
Course: Machine Learning
I like that it focuses more on the how-to of the different text summarization methods
Course: Text Summarization with Python
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 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
Progressive presentation and application of methods
Aurélien Briffaz - CIRAD
Course: Introduction au Machine Learning avec MATLAB
Machine Translated
like it all
lisa xie
Course: Artificial Neural Networks, Machine Learning, Deep Thinking
Machine Translated
Alternation theory / practice effective!
CIRAD
Course: Introduction au Machine Learning avec MATLAB
Machine Translated
I like that it focuses more on the how-to of the different text summarization methods
RapidMiner is an open source data science software platform for rapid application prototyping and development. It includes an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics.
In this instructor-led, live training, participants will learn how to use RapidMiner Studio for data preparation, machine learning, and predictive model deployment.
By the end of this training, participants will be able to:
- Install and configure RapidMiner - Prepare and visualize data with RapidMiner - Validate machine learning models - Mashup data and create predictive models - Operationalize predictive analytics within a business process - Troubleshoot and optimize RapidMiner
Audience
- Data scientists - Engineers - Developers
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
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We are looking for a good mixture of IT and soft skills in Luxembourg!
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:
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