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 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
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.
Upcoming Reinforcement Learning Courses
2021-06-07 09:30:00
21 hours
2021-06-07 09:30:00
21 hours
2021-06-14 09:30:00
21 hours
2021-06-14 09:30:00
21 hours
Other countries
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