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Reinforcement Learning Course
Open up new opportunities for your business intelligence work with our Reinforcement Learning Training Program. We'll start with the basics of reinforcement learning, looking at how it's different from the usual machine learning ways, and you'll get to grips with important ideas like state, action, and reward. You'll learn how to build models for predicting sales, deal with challenges in time-based data, and see how well your models are doing. We'll give you real-life examples, data analysis methods, and step-by-step instructions to improve your skills. Level up your knowledge and make better decisions based on data today.
- Understand RL ideas: Get a good handle on state, action, and reward principles.
- Build RL models: Develop structures for predicting sales figures.
- Study sales data: Find patterns and get the data ready for machine learning.
- Check model performance: Use measurements to see how RL models compare to the usual models.
- Write up your findings: Organize reports and give clear summaries of what you've found.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Open up new opportunities for your business intelligence work with our Reinforcement Learning Training Program. We'll start with the basics of reinforcement learning, looking at how it's different from the usual machine learning ways, and you'll get to grips with important ideas like state, action, and reward. You'll learn how to build models for predicting sales, deal with challenges in time-based data, and see how well your models are doing. We'll give you real-life examples, data analysis methods, and step-by-step instructions to improve your skills. Level up your knowledge and make better decisions based on data today.
Elevify advantages
Develop skills
- Understand RL ideas: Get a good handle on state, action, and reward principles.
- Build RL models: Develop structures for predicting sales figures.
- Study sales data: Find patterns and get the data ready for machine learning.
- Check model performance: Use measurements to see how RL models compare to the usual models.
- Write up your findings: Organize reports and give clear summaries of what you've found.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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