Cours de formation de Reinforcement Learning dirigé par un formateur sur place en direct á France.
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Amr Alaa - FAB banak Egypt
Formation: Introduction to Data Science and AI (using Python)
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Apprendre la nouvelle langue.
FAB banak Egypt
Formation: Introduction to Data Science and AI (using Python)
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Présentation du sujet Temps de connaissance
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Formation: Introduction to Data Science and AI (using Python)
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Utile et bon écoute .. interactif
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Formation: Introduction to Data Science and AI (using Python)
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Formation: Introduction to Data Science and AI (using Python)
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Formation: Introduction to Data Science and AI (using Python)
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FAB banak Egypt
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Plans de cours Reinforcement Learning
Nom du Cours
Durée
Aperçu
Nom du Cours
Durée
Aperçu
21 hours
Aperçu
This instructor-led, live training in France (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.
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.
21 hours
Aperçu
This instructor-led, live training in France (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.
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.
Prochains cours Reinforcement Learning
2021-06-21 09:30:00
21 heures
2021-06-21 09:30:00
21 heures
2021-07-05 09:30:00
21 heures
2021-07-05 09:30:00
21 heures
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