Monthly Archives: January 2024

Software engineering tools for soft computing: MATLAB, R Tool and DTREG.  Comparison should focus on how they are able to model neural networks.  Also, pick criteria that compares things they all have in common. 

PS: The outline should look like the sample attached

 We want you to read at least one article or view a video about hardware (not software). Then write a brief summary (or create a short presentation) summarizing the article using MS Word or PowerPoint. Brief means no less than 10 sentences but not more than one page. Make sure to cite your source properly. 

bash scripting

Chapter 3 outline RESEARCH DESIGN AND METHODOLOGY for Ethical Hacking Research Topic

1 page in APA 6th Format On human resource management NO PLAGIARISM

Reflect on a few key concepts with at least one scholarly (peer-reviewed) resource :

1. Discuss the key components of human resource management.  Pick at least four concepts from chapter nine and describe how these concepts interrelate to individual performance on a team.
2. Review table 9.2 and select one of the dimensions listed, note why it was chosen and how you relate to this behavior.  If you have a personal experience, please share.
3. How do leaders select the best talent? What are some tools they can use to select the best-talent?

Essay:

Please choose any two topics from the list below and create a minimum 2-page essay answering the 2 questions (out of 4). Note: Avoid DIRECT wording from any source, rather rephrase the author’s work and use in-text citations where necessary.

ANSWER ANY 2: 

1. Name the basic constructs of an ensemble model. What are the advantages and disadvantages of ensemble models? Add a few Examples.

2. List and briefly describe the nine-step process in conducting a neural network project.

3. What is the main difference between classification and clustering? Explain using concrete examples. Add a few Examples.

4. What are the privacy issues with data mining? Do you think they are substantiated? Add a few Examples.

** Please note Do NOT write an introduction, rather just answer any 2 questions from above. 

Refer to Chapter 1 to 7 in the attached textbook:

Sharda, R., Delen, D., Turban, E. (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support 11E. ISBN: 978-0-13-519201-6. 

Requirement: 

Minimum 2-page essay. Do not need a cover sheet, abstract, graphs.

Add references separately for each question. Include in-text citations.

Strictly follow APA 7th Edition Format

No plagiarized content please! Attach a plagiarized report.

Check for spelling and grammar mistakes!

$10 max. Please bid if you agree.

****Separate document for each assignment****

Assignment: 

What are the common challenges with which sentiment analysis deals? What are the most popular application areas for sentiment analysis? Why?

Refer to Chapter 7 in the attached textbook:

Sharda, R., Delen, D., Turban, E. (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support 11E. ISBN: 978-0-13-519201-6. 

Requirement: 

Minimum 300-350 words. The cover sheet, abstract, graphs, and references do not count.

Add references separately for each assignment question.

Strictly follow APA 7th Edition Format

No plagiarized content please! Attach a plagiarized report.

Check for spelling and grammar mistakes!

$5 max. Please bid if you agree.

Assignment 3:

Find an example of a code of ethics or acceptable use policy related to information technology and discuss three points that you think are important.

Requirement:

****Separate document for each assignment**** 

Minimum 300-350 words. Cover sheet, abstract, graphs, and references does not count.

Add reference separately for each assignment question.

Double Spaced and APA 7th Edition Format

No plagiarized content please! Attach a plagiarized report.

Check for spelling and grammar mistakes!

$5 max. Please bid if you agree.

Primary Task Response: Within the Discussion Board area, write 400-600 words that respond to the following questions with your thoughts, ideas, and comments. This will be the foundation for future discussions by your classmates. Be substantive and clear, and use examples to reinforce your ideas.

Part 1

Top management of a large company has told you that they would like to be able to determine what the impact of years of service at their company has on workers’ productivity levels, and they would like to be able to predict potential productivity based upon years of service. The company has data on all of its employees and has been using a valid productivity measure that assesses each employee’s productivity.

What is a possible way to answer management’s question, and how does the analysis work? Reference the section on bi-variate linear regression from Green & Salkind.

Part 2

After reviewing the results of the analysis in Part I, the company found they are significantly related. However, a statistician reviewed the output and said that the results really do not explain much of what is happening in the total relationship.

What information is the statistician referring to from your output, and why is it important? Reference the section on bi-variate linear regression from Green & Salkind. 

While this weeks topic highlighted the uncertainty of Big Data, the author identified the following as areas for future research.  Pick one of the following for your Research paper:

• Additional study must be performed on the interactions between each big data characteristic, as they do not exist separately but naturally interact in the real world.
• The scalability and efficacy of existing analytics techniques being applied to big data must be empirically examined.
• New techniques and algorithms must be developed in ML and NLP to handle the real-time needs for decisions made based on enormous amounts of data.
• More work is necessary on how to efficiently model uncertainty in ML and NLP, as well as how to represent uncertainty resulting from big data analytics.
• Since the CI algorithms are able to find an approximate solution within a reasonable time, they have been used to tackle ML problems and uncertainty challenges in data analytics and process in recent years.

Your paper should meet these requirements: 

• Be approximately four to six pages in length, not including the required cover page and reference page.
• Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
• Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations, in addition to your textbook. The UC Library is a great place to find resources.
• Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

Read the attached case study and write analysis and answer the case study question in APA 7th edition with 2 and a half-page  

Note: My assignments will need actual references from EBSCO host, google scholar, and semantic scholar With a website link at the end.