Local instructor-led live Reinforcement Learning training courses in Ελλάδα.
Testimonials
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AUO友达光电（苏州）有限公司
Course: OptaPlanner in Practice
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πληροφορίες
Amr Alaa - FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
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Εκμάθηση νέας γλώσσας.
FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
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Θέμα Γνώση γνώσης
Aly Saleh - FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
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Χρήσιμος και καλός ακροατής .. Διαδραστικός
Ahmed El Kholy - FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
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Ο Ahmed ήταν πολύ διαδραστικό και δεν έδωσε το μυαλό σε απάντηση σε κάθε θέμα παρουσίαση και ομαλή ροή του μαθήματος
Mohamed Ghowaiba - FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
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Το μάθημα είναι πολύ ενδιαφέρον να είναι η κύρια εστίαση τώρα
mohamed taher - FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
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Οι συζητήσεις για τη διεύρυνση των οριζόντων μας
FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
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Reinforcement Learning Course Outlines
Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
Overview
This instructor-led, live training in Ελλάδα (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 hours
Overview
This instructor-led, live training in Ελλάδα (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 hours
Overview
This instructor-led, live training in Ελλάδα (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.
Upcoming Reinforcement Learning Courses
13-08-2021 09:30
7 hours
13-08-2021 09:30
7 hours
20-09-2021 09:30
21 hours
29-09-2021 09:30
21 hours
29-09-2021 09:30
21 hours
Other countries
Consulting
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