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schepotkina [342]
2 years ago
10

"En la opción

Computers and Technology
1 answer:
Katyanochek1 [597]2 years ago
5 0
Answer: I think email

Explanation: not rlly sure tho..
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How computer can affect the life of people?
SCORPION-xisa [38]
<h2>Answer These are the negative effects</h2><h2>Low grades In school: others use the computer not for studying but something else. Which makes them unfocused in school.</h2><h2 /><h2>Waist and wrist pains: Due to long sitting ppl experience pains all over the body. </h2>

<h2>Addiction: People get addicted to the computer and makes them forget they have something important doing.</h2>
4 0
3 years ago
What are the steps to apply new layout to the slide. ( Write in easy way)​
pogonyaev

Answer:

Explanation:

Apply a slide layout

1 . Select the slide that you want to change the layout for.

2 . Select Home > Layout.

3 . Select the layout that you want. The layouts contain placeholders for text, videos, pictures, charts, shapes, clip art, a background, and more. The layouts also contain the formatting for those objects, like theme colors, fonts, and effects

5 0
3 years ago
Which type of data is is usually collected as numerical data that can be presented in a graph or chart?
Natali5045456 [20]

Answer:

Quantitative data

Explanation:

Quantitative data is information about quantities; that is, information that can be measured and written down with numbers. Some other aspects to consider about quantitative data: Focuses on numbers. Can be displayed through graphs, charts, tables, and maps.

8 0
3 years ago
With,user receive recommendations for items that are similar in type to items they already like.
Dennis_Churaev [7]

Answer:

Collaborative filtering

Explanation:

This is one out of five on the Recommender system apart from most popular items, Association and Market Basket based Analysis, Content-based analysis, self and hybrid analysis where we use both content-based and collaborative based approach together. And the Recommender system is a very important topic in Data science. For this question, remember that Collaborative filtering focuses on user and various other user's choices which are mathematically alike to concerned users, and which we find with the study of a large data set. Thus, we can predict from our above study that what are going to be likes of concerned users, and at the item level, whether that item will be liked by the concerned user or not. And this is prediction, and we use this approach in Machine learning these days. For this question, and as mentioned in question the requirements, answer is Collaborative filtering.

6 0
3 years ago
This is my new horrible subject lol
AysviL [449]
I’m 98% sure that it is B because customer service would be provided to people who buy from the company and need help
5 0
3 years ago
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