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:
Read more on machine learning (ML) here: brainly.com/question/25523571
Answer:
the answer is evaporation
Explanation: Evaporation is the process by which a liquid transforms into vapor (a gas). When some material is in its liquid phase, its particles are really close together (but not as much as we would see in a metal). As the temperature of the liquid increases, also does the kinetic energy of the particles. This cause the particles in the water to move a lot faster, thus its oscillations are larger. This causes an increase in the volume of the material.
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Someone has asked this question before and I answered it I don’t want to type it all over again so here
