Future Artificial Intelligence Reinforcement Learning (TM)
Reinforcement Learning Ai
Artificial Intelligence,Data Science and AI ML
Lectures -6
Duration -41 mins
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Course Description
What is Reinforcement Learning Use Case (Applications)
Teaching methodology is super simple:
Super Simplicity
Step to Step Process
Simple Theory
Simple Model
Simple Implementation
No Complexity
Super Clarity.
Goals
What will you learn in this course:
What is Reinforcement Learning Use Case (Applications)
What are Reinforcement Learning Applications used in Self-Driving Cars
What Is AWS DeepRacer
Industry Automation with Reinforcement Learning
Reinforcement Learning applications in Trading and Finance
Reinforcement Learning in NLP (Natural Language Processin
Reinforcement Learning applications in Healthcare
More Reserch In Reinforcement Learning Applications
Prerequisites
What are the prerequisites for this course?
No prior experience is needed to join in this course.
You can study anywhere this master class with a stable internet connection.
Students are advised to take notes for self-reflection purposes.
Anyone who is wants learn Real life Applications of Reinforcement Learning with Simplicity and Step by Step Process
Curriculum
Check out the detailed breakdown of what’s inside the course
What is Ai Reinforcement Learning
1 Lectures
- What is Ai Reinforcement Learning 05:36 05:36
02
1 Lectures
Industrial Automation with Reinforcement Learning like Google
1 Lectures
Reinforcement Learning Applied in Trading and Finance
1 Lectures
Natural Language Using Reinforcement Learning
1 Lectures
Reinforcement Learning More Deep Reserch
1 Lectures
Instructor Details
Dr. FAK Noble
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