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:
I don't know what to put up here but I hope this helped.
Explanation:
Metaphor This is a direct comparison of two things, in which they are said to be (in some sense) the same thing. Metonymy This is a figure of speech in which one word or phrase is substituted for another with which it is closely associated.
Answer: Lithium
Explanation:
Chlorine's high electronegativity causes it to pull electrons from lithium, resulting in the ionic compound LiCl being formed
