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This course is an introduction to machine learning basics theory and practice. There are 3 different types of learning:
supervised learning is maybe the most common modern way of teaching. In this method a "Teacher" shows you an example and you are required to repeat the example logic on some other examples.
Unsupervised learning is a way to make Decisions based on correlation in the data.
Reinforcement learning is based on interaction with the environment. The learning is done using Trial and error.
