Reinforcement Learning Training in Luxembourg City
Online or onsite, instructor-led live Reinforcement Learning training courses demonstrate through interactive hands-on practice how to create and deploy a Reinforcement Learning system.
Reinforcement Learning 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. Luxembourg City onsite live Reinforcement Learning trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
Learn Reinforcement Learning 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
★★★★★
★★★★★
the course is very interesting being the main focus nowdays
mohamed taher - FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
subject
presentation
knowledge
timing
Aly Saleh - FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
information
Amr Alaa - FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
Ahmed was very interactive and didn’t mind answering any kind of questions
Well presentation and smooth flow of the course
Mohamed Ghowaiba - FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
learning new language.
FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
The discussions to broaden our horizons
FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
helpful and good listener .. interactive
Ahmed El Kholy - FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
I like examples to explain
AUO友达光电（苏州）有限公司
Course: OptaPlanner in Practice
Machine Translated
Reinforcement Learning Course Events - Luxembourg City
This instructor-led, live training in Luxembourg City (online or onsite) is aimed at data scientists who wish to go beyond traditional machine learning approaches to teach a computer program to figure out things (solve problems) without the use of labeled data and big data sets.
By the end of this training, participants will be able to:
- Install and apply the libraries and programming language needed to implement Reinforcement Learning. - Create a software agent that is capable of learning through feedback instead of through supervised learning. - Program an agent to solve problems where decision making is sequential and finite. - Apply knowledge to design software that can learn in a way similar to how humans learn.
This instructor-led, live training in Luxembourg City (online or onsite) is aimed at data scientists who wish to create and deploy a Reinforcement Learning system, capable of making decisions and solving real-world problems within an organization.
By the end of this training, participants will be able to:
- Understand the relationships and differences between Reinforcement Learning and machine learning, deep learning, supervised and unsupervised learning. - Analyze a real-world problem and redefine it as Reinforcement Learning problem. - Implementing a solution to a real-world problem using Reinforcement Learning. - Understand the different algorithms available in Reinforcement Learning and select the most suitable one for the problem at hand.
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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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