Introduction To

Machine Learning

Machine Learning is a sub-area of artificial intelligence, whereby the term refers to the ability of IT systems to independently find solutions to problems by recognizing patterns in databases. In other words: Machine Learning enables IT systems to recognize patterns on the basis of existing algorithms and data sets and to develop adequate solution concepts. Therefore, in Machine Learning, artificial knowledge is generated on the basis of experience.

In a way, Machine Learning works in a similar way to human learning. For example, if a child is shown images with specific objects on them, they can learn to identify and differentiate between them. Machine Learning works in the same way: Through data input and certain commands, the computer is enabled to "learn" to identify certain objects (persons, objects, etc.) and to distinguish between them.

The system can perform the following tasks by Machine Learning:

1. Finding, extracting and summarizing relevant data
2. Making predictions based on the analysis data
3. Calculating probabilities for specific results
4. Adapting to certain developments autonomously
5. Optimizing processes based on recognized patterns


Course Structure

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