FREE FOR LIMITED TIME
What you’ll learn
- How to create real hands on Reinforcement Learning Solution and embedd it in an Webb App
- How to create your own Python library and abstract all of the computation away (Automated Machine Learning)
- Machine Learning
- Reinforcement Learning
Reinforcement Learning is currently highly experimental and not a lot business cases are beeing solved outside of big tech companies. Here I will show you how you can solve real stochastic problems using Reinforcement Learning. And not only code the solution from scratch but also deploy it via Web App. In the process of, we will also learn about packing our code and publishing Python libraries. One of the examples were we showcase this will be automated machine learning, where dull processes like preprocessing, hyperparameter optimisation, algorithm selection etc. will be all abstracted away and executible with a single command.
Author(s): Noah Weber