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Nutka1998 [239]
3 years ago
10

In microsoft word, when you highlight existing text you want to replace you are

Computers and Technology
1 answer:
RSB [31]3 years ago
8 0
You are changing the word
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How do professionals address their problems?
8090 [49]

Answer:

b, with grace and maturity

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3 years ago
Read 2 more answers
The roll out, roll in variant of swapping is used ____."
Sindrei [870]

Answer:

C.) for priority-based scheduling algorithms

Explanation:

for priority-based scheduling algorithms

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2 years ago
A common use-case for dictionaries is to store word counts. Let's modify our program below to store the count for each unique wo
baherus [9]

Answer:

word_count={}

for i in text.split:

        if i in word_count:

                word_count[i]+=1

         else:

                 word_count[i]=1

print word_count

8 0
3 years ago
Give two reasons why cloud computing could be detrimental to a company.
dimulka [17.4K]

Security/Insider threats.

As much as cloud computing is good for your organization, just know that someone is looking after your data. The cloud provider does everything for you from maintenance to managing security. The bigger picture here is that users are entrusting their data to someone else. Although the work of cloud providers is to ensure that your data is safe, some are not always looking after your best interests.

Cyber-attacks.

Any time your data is stored on the cloud, you are at a higher risk of cyber-attack. Vulnerabilities such as DDoS attacks might occur and this single point of failure is in the cloud. As cloud computing continues to become more sophisticated, so do cyberattacks. As much as the security is right, hackers will go to any lengths to penetrate the systems.  


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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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