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astraxan [27]
3 years ago
10

In a spreadsheet what does the following symbol mean? $

Computers and Technology
1 answer:
Diano4ka-milaya [45]3 years ago
6 0

Answer:

$ = dollar sign

Explanation:

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Construct a regular expression that recognizes the following language of strings over the alphabet {0 1}:
vovikov84 [41]

Answer:

00(01)*+|(01)*+101|00(01)*+101

Rest detail is in explanation.

Explanation:

(01)* means all the strings comprising of 0 and 1

when we add + the set includes empty sets as well. and for or we use union, and this can be done using the | sign.

And for concatenation, we have like 00(01)* etc. Hence, the above regular expression.

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Explanation:

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Answer:

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Filtering of packets as they leave the network destined for the internet is called ____________ .
e-lub [12.9K]
<span>Filtering of packets as they leave the network destined for the internet is called packet filtering. This firewall technique is also known as static filtering, and it is mainly used to control network access through the process of monitoring both outgoing and incoming packets. Along with monitoring, it functions to allow the packets to pass or halt which takes place based on the source of Internet Protocol.</span>
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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.

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3 years ago
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