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Summarizing learning types with applications

We have seen the basic working principles of ML algorithms. Then we have seen what the basic ML tasks are and how they formulate domain-specific problems. However, each of these learning tasks can be solved using different algorithms. The following diagram provides a glimpse into this:

Types of learning and related problems

The following diagram summarizes the previously mentioned ML tasks and some applications:

ML tasks and some use cases from different application domains

However, the preceding diagram lists only a few use cases and applications using different ML tasks. In practice, ML is used in numerous use cases and applications. We will try to cover a few of those throughout this book.

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