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Shalnov [3]
3 years ago
13

PowerPoint Online automatically saves your presentation to what Office Online application? OneDocument OneDrive OneNote OneWay

Computers and Technology
2 answers:
irina [24]3 years ago
7 0
<h2>Answer:</h2><h3>One Drive</h3><h2>Explination:</h2>
-BARSIC- [3]3 years ago
6 0

Answer:

OneDrive

Explanation:

OneDrive is Microsoft cloud storage service. so it makes sense it would save it their :)

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Several people work with data at Erica’s office. She enters data. One of her coworkers enters new product numbers. Another cowor
Dvinal [7]

Answer:

a software program for storing, managing, and retrieving information

Explanation:

8 0
3 years ago
What is analog computer? where is it used​
hichkok12 [17]

Explanation:

analogue computer is in computer which is used to process analogue data.

Analogue computer were widely used in scientific and industrial application

3 0
3 years ago
Read 2 more answers
1) Which of the following would you NOT see on a Windows 10 Start menu?
Sati [7]
Task view

I hope this helps you :)
3 0
3 years ago
Disk ________ realigns separated data so that related file pieces are unified.
PilotLPTM [1.2K]
Disk defragmentation realigns separated data so that related file pieces are unified. <span> Defragmentation is is the process of consolidating fragmented files on the user's hard drive.</span>This Microsoft Windows utility includes <span>rearranging the fragments and restoring them into fewer fragments or into the whole file.
</span>
4 0
3 years ago
Teaching Siri or the Google Assistant how to recognize your voice by reading to it is an example of ________.
nata0808 [166]

Answer:

4. Supervised learning.

Explanation:

Supervised and Unsupervised learning are both learning approaches in machine learning. In other words, they are sub-branches in machine learning.

In supervised learning, an algorithm(a function) is used to map input(s) to output(s). The aim of supervised learning is to predict output variables for given input data using a mapping function. When an input is given, predictions can be made to get the output.

Unsupervised learning on the other hand is suitable when no output variables are needed. The only data needed are the inputs. In this type of learning, the system just keeps learning more about the inputs.

Special applications of supervised learning are in image recognition, speech recognition, financial analysis, neural networking, forecasting and a whole lot more.

Application of unsupervised learning is in pre-processing of data during exploratory analysis.

<em>Hope this helps!</em>

8 0
3 years ago
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