Reinforcement Learning | Reinforcement Learning In Python | Machine Learning Tutorial | Simplilearn
Taha GÖÇER
About this course
This course provides an in-depth introduction to reinforcement learning, exploring its principles, strategies, and applications in machine learning. Through engaging examples, including a tic-tac-toe game, learners will gain insights into supervised, unsupervised, and reinforcement learning paradigms, understand key concepts such as Markov's Decision Process, and discover how to implement reinforcement learning using Python.
What you should already know
Familiarity with basic programming concepts and Python is required to effectively follow this course.
What you will learn
By the end of this course, learners will be equipped to understand and apply reinforcement learning techniques to solve complex problems and create intelligent systems that learn from their environment.