Lokala utbildningar med en tränare från Reinforcement Learning i Sverige.
Vittnesmål
information
Amr Alaa - FAB banak Egypt
Kurs: Introduction to Data Science and AI (using Python)
Machine Translated
Lär dig nytt språk.
FAB banak Egypt
Kurs: Introduction to Data Science and AI (using Python)
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Ämnespresentation Kunskap Timing
Aly Saleh - FAB banak Egypt
Kurs: Introduction to Data Science and AI (using Python)
Machine Translated
Hjälpsam och bra lyssnare .. Interaktiv
Ahmed El Kholy - FAB banak Egypt
Kurs: Introduction to Data Science and AI (using Python)
Machine Translated
Ahmed var mycket interaktivt och inte tänkte på att svara på någon form av frågor väl presentation och smidigt flöde av kursen
Mohamed Ghowaiba - FAB banak Egypt
Kurs: Introduction to Data Science and AI (using Python)
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Kursen är mycket intressant att vara huvudfokus nuday
mohamed taher - FAB banak Egypt
Kurs: Introduction to Data Science and AI (using Python)
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Diskussionerna för att vidga våra vyer
FAB banak Egypt
Kurs: Introduction to Data Science and AI (using Python)
Machine Translated
Jag gillar exempel för att förklara
AUO友达光电（苏州）有限公司
Kurs: OptaPlanner in Practice
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Reinforcement Learning läroplaner
Kurs Namn
Varaktighet
Översikt
Kurs Namn
Varaktighet
Översikt
21 timmar
Översikt
This instructor-led, live training in Sverige (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.
21 timmar
Översikt
This instructor-led, live training in Sverige (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.
7 timmar
Översikt
This instructor-led, live training in Sverige (online or onsite) is aimed at researchers and developers who wish to install, configure, customize, and implement OpenAI Gym to quickly develop reinforcement learning algorithms.
By the end of this training, participants will be able to build, develop, execute, and test reinforcement learning algorithms to optimize tasks and achieve maximum results.
By the end of this training, participants will be able to build, develop, execute, and test reinforcement learning algorithms to optimize tasks and achieve maximum results.
Kommande Reinforcement Learning Kurser
16-08-2021 09:30
21 timmar
16-08-2021 09:30
21 timmar
08-09-2021 09:30
21 timmar
30-09-2021 09:30
7 timmar
30-09-2021 09:30
7 timmar
Andra länder
Konsult
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