Sticking the tongue on the flagpole is an example of negative reinforcement because it produces an unpleasant sensation. In consequence, this behavior will be avoided in the future.
Negative reinforcement refers to a phenomenon that allows teaching a particular behavior.
Negative reinforcement occurs when an uncomfortable and/or unpleasant situation is taken away as a reaction to a particular stimulus.
This process (negative reinforcement) involves discarding the negative situation in order to strengthen a particular behavior.
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Machine learning (ML) data can be represented in the following forms:
1. Matrix and Spatial.
2. Scalar and Vector.
Machine learning (ML) is also referred to as Artificial intelligence (AI) and it can be defined as a subfield in computer science which is focused on the use of computer algorithms to build a smart computer-controlled robot that has the ability (capacity) to automatically perform and handle tasks that are exclusively designed to be performed by humans or by using human intelligence.
Generally, the data that are generated and used in machine learning (ML) can be represented in the following forms:
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Because there is a limited amount of compost with a limited amount of minerals. In the garden there is loads of soil and loads of minerals. because of decomposition and absorption minerals can easily be replaced in the garden soil, unlike in a plant pot.
