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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The Kind of file that would be the best to handle the basic calculation would be a spreadsheet.
<h3>What is a spreadsheet?</h3>
This is the term that is used to refer to the file that is made up of rows and columns. The rows and columns are made up of what is referred to as cells. Each cell contains data.
The spreadsheet is used to take care of calculations and helps majorly in statistics and accounting. Examples of spreadsheets are excel.
These sheets are able to carry out computations even up to statistical and engineering calculations. They help to make work faster and make interpretation of work easier.
The use of spreadsheets have kind of helped to make the use of lots of statistical formulas obsolete. This is because the operations are easier and faster when done on the sheets.
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Networking is the answer.
The answer is true that’s the right answer
During the lunar<span> month, the </span>Moon<span> goes through all its </span>phases. You can see the phases<span> drawn in the image below. Just like the Earth, half of the </span>Moon<span> is lit by the Sun while the other half is in darkness. The </span>phases<span> we see result from the angle the </span>Moon<span> makes with the Sun as viewed from Earth.</span>