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Reinforcement Learning Course
Open the door to new opportunities in the business intelligence world with our Reinforcement Learning Training Program. We'll dig deep into what reinforcement learning is all about, how it's different from regular machine learning, and you'll get a good handle on important ideas like condition, action, and benefit. You'll learn how to build models for figuring out how sales will go, manage the challenges of time-series data, and see how well your models are performing. We'll give you real-life examples, ways to look at data, and clear instructions to make sure you can use what you learn. Step up your skills and make better decisions based on data today!
- Understand RL well: Get a strong understanding of condition, action, and benefit.
- Build RL models: Develop structures for figuring out how sales will go.
- Look at sales data: Find patterns and prepare it for machine learning.
- Check models: Use measurements to compare RL models with regular models.
- Write down what you find: Organize reports and summarize results clearly.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Open the door to new opportunities in the business intelligence world with our Reinforcement Learning Training Program. We'll dig deep into what reinforcement learning is all about, how it's different from regular machine learning, and you'll get a good handle on important ideas like condition, action, and benefit. You'll learn how to build models for figuring out how sales will go, manage the challenges of time-series data, and see how well your models are performing. We'll give you real-life examples, ways to look at data, and clear instructions to make sure you can use what you learn. Step up your skills and make better decisions based on data today!
Elevify advantages
Develop skills
- Understand RL well: Get a strong understanding of condition, action, and benefit.
- Build RL models: Develop structures for figuring out how sales will go.
- Look at sales data: Find patterns and prepare it for machine learning.
- Check models: Use measurements to compare RL models with regular models.
- Write down what you find: Organize reports and summarize results clearly.
Suggested summary
Before starting, you can change the chapters and 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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