Online or onsite, instructor-led live H2O AutoML training courses demonstrate through interactive hands-on practice how to use H2O AutoML to automoate the process of building and selecting the best machine learning algorithm and parameters.
H2O AutoML 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 H2O AutoML trainings in Luxembourg City can be carried out locally on customer premises or in NobleProg corporate training centers.
Learn H2O AutoML 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
This instructor-led, live training in Luxembourg City (online or onsite) is aimed at data scientists who wish to use H2O AutoML to automoate the process of building and selecting the best machine learning algorithm and parameters.
By the end of this training, participants will be able to:
- Automate the machine learning workflow. - Automatically train and tune many machine learning models within a specified time range. - Train stacked ensembles to arrive at highly predictive ensemble models.
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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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