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. Onsite live Reinforcement Learning trainings in Borsod-Abaúj-Zemplén can be carried out locally on customer premises or in NobleProg corporate training centers.
Our conference rooms are located only 8 km away from the vibrant city center of Miskolc in the district of Tapolcafürdő. Ou...
Our conference rooms are located only 8 km away from the vibrant city center of Miskolc in the district of Tapolcafürdő. Our spacious rooms can accomodate 100 and 130 guests. There is a 4 meters wide terrace attached to the rooms with a beatiful view towards the Bükk mountains. Our conference hall is the perfect choice for conferences, trainings and meetings, our rooms are equipped with projectors, internet and great sound system.
This instructor-led, live training in Borsod-Abaúj-Zemplén (online or onsite) is aimed at developers and data scientists who wish to learn the fundamentals of Deep Reinforcement Learning as they step through the creation of a Deep Learning Agent.
By the end of this training, participants will be able to:
Understand the key concepts behind Deep Reinforcement Learning and be able to distinguish it from Machine Learning.
Apply advanced Reinforcement Learning algorithms to solve real-world problems.
This instructor-led, live training in Borsod-Abaúj-Zemplén (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 Borsod-Abaúj-Zemplén (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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Kamil
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Jose Victor - si
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