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
To get the most benefit from exercise with the least amount of risk; Moderate intensity with higher frequency is advised.
<h3>Risk and Benefit factors of Exercise</h3>
A couple of exercising methods can be emulated which include;
- Exercising at a high intensity such as sprinting or running.
- Exercising at a moderate intensity such as brisk walking, swimming or cycling.
- Exercising at a low intensity.
However, among the highlighted techniques above, it is advised to exercise at moderate intensity but with higher frequency.
Read more on exercise;
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Answer:
C is the correct answer because the pSat supports you to do good in the Sat
Mainly, the mass of a planet doesn't matter, considering many planets are made up of gas, and how in different situations, atmospheres can be destroyed (The Sunburnt off Mercury's Atmosphere). However, in some cases, the planet can be in a good situation on the galactic map and have great conditions for an atmosphere, such as Earth. In which case, the mass of an object can attract a smaller object, causing gravity. Therefore, the bigger the mass of a planet when in right and specific conditions, the more atmosphere it can attract, if there is any floating by the planet.
If it is bigger it will have more gravitational influence and therefore gather more gases.
