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stellarik [79]
3 years ago
5

Select the data type for each example below. Possible answers -Int -float -string

Computers and Technology
1 answer:
Veseljchak [2.6K]3 years ago
6 0
Float string int
I hope my answer helps.
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Identify disadvantages that web designers encountered when using tables for page layout. Check all of the boxes that apply.
11Alexandr11 [23.1K]

Answer:

A and C

Explanation:

I got the question correct on Edge.

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Consider two decision problems X and Y. If X reduces in polynomial time to 3-SAT and 3-SAT reduces in polynomial time to Y. Whic
tekilochka [14]

Answer:

X is in NP and Y is in NP-HARD ( A )

Explanation:

X is in NP and Y is in NP-HARD can be inferred from the previous statement made in the problem above because  problem decision X  can be in NP if it can BE reducible to a 3-SAT polynomial real time, if that can be achieved then  3SAT will be in NP since SAT is in NP as well.

also problem decision Y  can be in NP-HARD if 3SAT can be reducible to it in polynomial time as well hence option A is the correct option

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3 years ago
What does the binary code 01101000 01100101 01101100 01101100 01101111 00100000 01101101 01111001 00100000 01100110 01110010 011
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3 years ago
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Anyone have Y.O.U.T.U.B.E or S.O.U.N.D.C.L.O.U.D. I need help putting my music and videos out there
kiruha [24]

Answer:

I do have Y.O.U.T.U.B.E.

Explanation:

1. Go on Y.O.U.T.U.B.E app.

2. Create account or log in to an existing account.

3. In the welcome screen, click the button of a camera on the top right corner next to your photo icon.

4. Click "Upload Video"

5. Then upload your video.

6. Add a description and details

7. Done! Just upload to on Y.O.U.T.U.B.E.

I hope this helps! Thank you:)

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4 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.

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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>

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