This is the last lesson of this course. In this lesson, we will have a look at some advanced topics which you can learn, and we’ll also discuss the career options that you can consider after completing this course.
We'll cover the following
Now that you have completed this course, you might have one question: what should you do or what should you learn after this course? Here is your answer.
Learn Reinforcement Learning
Reinforcement learning (RL) is an area of machine learning concerned with how software agents ought to take actions in an environment in order to maximize the notion of cumulative reward. Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised learning. You can build some awesome models that will learn to play complex games. There are people who have created models that have learned to play GTA V. Now that you have a sense of how interesting this topic is, you can start reading Reinforcement Learning: A Survey, which surveys reinforcement learning from a computer science perspective and also discusses the issues of reinforcement learning. We highly recommend you go through this paper if you are starting to learn about this technique.