Description
The ____ function removes duplicate elements from an array.
A.array_dup()
B.array_values()
C.
D.array()
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
A.array_dup()
Completion Status:
100%
Review
Review
Anonymous
This is great! Exactly what I wanted.
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
Campbesville University Privacy Issues with Data Mining Discussion
What are the privacy issues with data mining? Do you think they are substantiated?.
Reply to post 1
Data mining can be ex ...
Campbesville University Privacy Issues with Data Mining Discussion
What are the privacy issues with data mining? Do you think they are substantiated?.
Reply to post 1
Data mining can be expensive, and it takes time to conduct it. Some businesses run on big data platforms like Microsoft's Cortana. Big data companies also have a high risk (Roiger, 2017). There is a risk that the machines themselves could hack. There is a risk that the data-mining company might misappropriate data or sell it out to third parties for profit. Data mining platforms can offer real solutions to problems like these. They can also provide accurate data or data directly related to the products and services they run. Data mining's main disadvantage is that it is costly; hence, it is not a very practical method in the early stages of data science. In the end, data mining is just the automated generation of hypotheses from data.
The most significant data mining issues are that most data mining companies are often not very good at understanding natural human behaviors or human language. Most data mining companies will use natural language processing, natural language extraction, text classification, text analysis, and natural language inference. As a result, their approaches will not be excellent since they often do not understand why users do certain things. They will not get to the root of the problem, so most data miners are less efficient than humans at interpreting natural language (Tan et al., 2016). Data mining's significant difference is that many data mining companies use high-speed computers and high-class statistical methods. To conduct their data mining tasks compared to their data scientists, which tend to run these statistical methods on more expensive computers and high-end statistical programs. Data mining is a new and unique way of identifying an entire group of information. So, it’s also very difficult to detect as there are many unknowns on the network. As such, the data is considered less useful than data mining and is not as useful as other methods and techniques
Reply to post 2
Data mining is the methodology used to obtain data to create a database that may be used by a variety of different methods for statistical evaluation, predictive predictions, or any other desired purpose. Data Mining is considered very accurate in identifying individuals. Data Mining can be used to locate a particular person in a large group of groups or track movements when an employee is on the go. Data Mining provides a more precise understanding of a person by combining multiple data sets. There are a few limitations to data mining. First, one must keep in mind the statistical limitations of the data, which are also the scientific method's limitations (Asif et al., 2017). For instance, if analyzing data from a large sample size with multiple possible causes, one can use correlation to confirm a link. However, correlation does not prove causation, nor does it mean all data points fall within a specific probability model. Data mining requires large samples in order to confirm a link. Second, data mining is more susceptible to selection bias. For instance, for a complex problem, researchers may not find the original problems or focus on those problems that are easier to solve for the researcher.
Data mining is not very good at detecting anomalies outside the expected behavior of a data set. It is because normal variation is usually a direct correlate with the data set's actual structure, rather than an artifact outside the normal range of the data (Lu et al., 2017). Data mining is simply the process by which data is gathered and examined to understand how a particular topic behaves or will behave in the future.
New England College of Business and Finance ISO 27001 Certification Discussion
From your research,
discuss whether or not your organization has ISO 27001 certification. Outside
of overall protection ...
New England College of Business and Finance ISO 27001 Certification Discussion
From your research,
discuss whether or not your organization has ISO 27001 certification. Outside
of overall protection from cyber-attacks, describe, in detail, some other
benefits your organization will achieve in obtaining this certification. If
your company does not have this certification, how can they go about obtaining
it?Present your
discussion post as if you were presenting to senior leaders of your company.Please make your
initial post and two response posts substantive. A substantive post will do at
least TWO of the following:
Ask an interesting,
thoughtful question pertaining to the topic
Answer a question (in detail)
posted by another student or the instructor
Provide extensive additional
information on the topic
Explain, define, or analyze
the topic in detail
Share an applicable personal
experience
Provide an outside source
(for example, an article from the UC Library) that applies to the topic,
along with additional information about the topic or the source (please
cite properly in APA)
Make an argument concerning
the topic.
At least one
scholarly source should be used in the initial discussion thread. Be sure to
use information from your readings and other sources from the UC Library. Use
proper citations and references in your post.The primary post should be at least 350 characters in
length and include at least one (1) cited reference.Once you send primary post. I will attach 2 secondary
post which you need to provide reply's with 200 to 250 wordsNO PLAGARISM
5 pages
Cis 210 Kiosk Study Assignment Final Version
This proposal aims to inform the library about the efficiency of serving kiosks by providing the three major benefits of i ...
Cis 210 Kiosk Study Assignment Final Version
This proposal aims to inform the library about the efficiency of serving kiosks by providing the three major benefits of it. This presentation will ...
King Fahd University Impact on The Software Development Process Discussion
During this module, you explored several emerging technologies and their impact on the software development process.Discus ...
King Fahd University Impact on The Software Development Process Discussion
During this module, you explored several emerging technologies and their impact on the software development process.Discuss
the impact that machine learning and artificial intelligence will have
on the software development process and the inclusion of security
controls in SDLC and final software products.
5 pages
Discussion Pm Final
Q1. What are the practical implications internally (in terms of team motivation) and externally (for the customer) of maki ...
Discussion Pm Final
Q1. What are the practical implications internally (in terms of team motivation) and externally (for the customer) of making overly optimistic project ...
IT 429 George Mason University DDOS using an LDAP Reflection Attack Research Paper
The paper must be 5 pages long (not including title page and references). Needs at least 4 references. Needs at least 4 ...
IT 429 George Mason University DDOS using an LDAP Reflection Attack Research Paper
The paper must be 5 pages long (not including title page and references). Needs at least 4 references. Needs at least 4 references. Time roman font and 1.5 line spacing.
Similar Content
CSC 234 QMC Networking Technologies Configuring VLANs in PacketTracer Project
CSC 234 Networking Technologies
Configuring VLANs in PacketTracer
Objectives:
LANs).
Compare traffic patterns in regular ...
IT 403 SEU Write an Appropriate SQL DDL Statements Databases Questions
!
Word
IT403 Assignment 2 - Question
!
Accessibility Mode
Immersive Reader
Open in Desktop App
Print
DA
Share
Fun...
Subject- Network security, computer science homework help
Subject- Network securityPLEASE MAKE A GUD UNDERSTANDING ON THE QUESTIONS AND ANSWER While writing an exam what are issue ...
Discuss how business use Access Control to protect their information, describe the how a business will the Control Process.
Discuss how business use Access Control to protect their information, describe the how a business will the Control Process...
Minitrex Company Communication Case Study Questions Discussion Paper
Complete questions 1 and 2 at the and of Minitrex Case Study. (pages 243-254)Abstract 1 pageQuestions 2 pages eachConclus...
Powerpoint Presentation 6-8 Slides
Your presentation should be between six to eight slides long. Make sure that you properly cite any resources used.Address ...
Cmst 301 Discussion Week 2
Social media, for me, serves as a channel of communication and connection between my friends and me. It is also the easies...
Job Posting.edited
SRC, Inc. is currently seeking a Junior Cyber Security Analyst. Analyze developer delivered source code and provide report...
Question 1 Computer Science
1. Give an example from the book where insufficient testing was a factor in a program error The Thorac-25 incident is a go...
Related Tags
Book Guides
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
Campbesville University Privacy Issues with Data Mining Discussion
What are the privacy issues with data mining? Do you think they are substantiated?.
Reply to post 1
Data mining can be ex ...
Campbesville University Privacy Issues with Data Mining Discussion
What are the privacy issues with data mining? Do you think they are substantiated?.
Reply to post 1
Data mining can be expensive, and it takes time to conduct it. Some businesses run on big data platforms like Microsoft's Cortana. Big data companies also have a high risk (Roiger, 2017). There is a risk that the machines themselves could hack. There is a risk that the data-mining company might misappropriate data or sell it out to third parties for profit. Data mining platforms can offer real solutions to problems like these. They can also provide accurate data or data directly related to the products and services they run. Data mining's main disadvantage is that it is costly; hence, it is not a very practical method in the early stages of data science. In the end, data mining is just the automated generation of hypotheses from data.
The most significant data mining issues are that most data mining companies are often not very good at understanding natural human behaviors or human language. Most data mining companies will use natural language processing, natural language extraction, text classification, text analysis, and natural language inference. As a result, their approaches will not be excellent since they often do not understand why users do certain things. They will not get to the root of the problem, so most data miners are less efficient than humans at interpreting natural language (Tan et al., 2016). Data mining's significant difference is that many data mining companies use high-speed computers and high-class statistical methods. To conduct their data mining tasks compared to their data scientists, which tend to run these statistical methods on more expensive computers and high-end statistical programs. Data mining is a new and unique way of identifying an entire group of information. So, it’s also very difficult to detect as there are many unknowns on the network. As such, the data is considered less useful than data mining and is not as useful as other methods and techniques
Reply to post 2
Data mining is the methodology used to obtain data to create a database that may be used by a variety of different methods for statistical evaluation, predictive predictions, or any other desired purpose. Data Mining is considered very accurate in identifying individuals. Data Mining can be used to locate a particular person in a large group of groups or track movements when an employee is on the go. Data Mining provides a more precise understanding of a person by combining multiple data sets. There are a few limitations to data mining. First, one must keep in mind the statistical limitations of the data, which are also the scientific method's limitations (Asif et al., 2017). For instance, if analyzing data from a large sample size with multiple possible causes, one can use correlation to confirm a link. However, correlation does not prove causation, nor does it mean all data points fall within a specific probability model. Data mining requires large samples in order to confirm a link. Second, data mining is more susceptible to selection bias. For instance, for a complex problem, researchers may not find the original problems or focus on those problems that are easier to solve for the researcher.
Data mining is not very good at detecting anomalies outside the expected behavior of a data set. It is because normal variation is usually a direct correlate with the data set's actual structure, rather than an artifact outside the normal range of the data (Lu et al., 2017). Data mining is simply the process by which data is gathered and examined to understand how a particular topic behaves or will behave in the future.
New England College of Business and Finance ISO 27001 Certification Discussion
From your research,
discuss whether or not your organization has ISO 27001 certification. Outside
of overall protection ...
New England College of Business and Finance ISO 27001 Certification Discussion
From your research,
discuss whether or not your organization has ISO 27001 certification. Outside
of overall protection from cyber-attacks, describe, in detail, some other
benefits your organization will achieve in obtaining this certification. If
your company does not have this certification, how can they go about obtaining
it?Present your
discussion post as if you were presenting to senior leaders of your company.Please make your
initial post and two response posts substantive. A substantive post will do at
least TWO of the following:
Ask an interesting,
thoughtful question pertaining to the topic
Answer a question (in detail)
posted by another student or the instructor
Provide extensive additional
information on the topic
Explain, define, or analyze
the topic in detail
Share an applicable personal
experience
Provide an outside source
(for example, an article from the UC Library) that applies to the topic,
along with additional information about the topic or the source (please
cite properly in APA)
Make an argument concerning
the topic.
At least one
scholarly source should be used in the initial discussion thread. Be sure to
use information from your readings and other sources from the UC Library. Use
proper citations and references in your post.The primary post should be at least 350 characters in
length and include at least one (1) cited reference.Once you send primary post. I will attach 2 secondary
post which you need to provide reply's with 200 to 250 wordsNO PLAGARISM
5 pages
Cis 210 Kiosk Study Assignment Final Version
This proposal aims to inform the library about the efficiency of serving kiosks by providing the three major benefits of i ...
Cis 210 Kiosk Study Assignment Final Version
This proposal aims to inform the library about the efficiency of serving kiosks by providing the three major benefits of it. This presentation will ...
King Fahd University Impact on The Software Development Process Discussion
During this module, you explored several emerging technologies and their impact on the software development process.Discus ...
King Fahd University Impact on The Software Development Process Discussion
During this module, you explored several emerging technologies and their impact on the software development process.Discuss
the impact that machine learning and artificial intelligence will have
on the software development process and the inclusion of security
controls in SDLC and final software products.
5 pages
Discussion Pm Final
Q1. What are the practical implications internally (in terms of team motivation) and externally (for the customer) of maki ...
Discussion Pm Final
Q1. What are the practical implications internally (in terms of team motivation) and externally (for the customer) of making overly optimistic project ...
IT 429 George Mason University DDOS using an LDAP Reflection Attack Research Paper
The paper must be 5 pages long (not including title page and references). Needs at least 4 references. Needs at least 4 ...
IT 429 George Mason University DDOS using an LDAP Reflection Attack Research Paper
The paper must be 5 pages long (not including title page and references). Needs at least 4 references. Needs at least 4 references. Time roman font and 1.5 line spacing.
Earn money selling
your Study Documents