my dissertation topic is “What is the justification that the UK Ministry of Defence uses in diversifying the Armed Forces? An analysis. of MoD documents?”
I have completed the following sections so far: Introduction, Literature Review and Research Methods. I will attach this file of work that has been done so far so you understand the assignment topic. I need the remaining sections to be completed now: Analysis/Results and the Discussions/Conclusion section.
The 2 sections that need to be completed should come to 4000 words.
I will attach some materials that you can use to understand the type of work that needs to be done. Also, stay in contact and ask if you need any materials that I could potentially have that could help you.
I will attach my Dissertation Proposal consisting of the sections I already completed. An example of a Secondary Research Dissertation
please feel free to also not use the documents that I selected to be analysed as said in my sample. Do change it as I believe I haven’t selected the best documents to be analysed.
Category: Data science
1. Textbook 10.1 (A) draw the network structure (B) Use SK-Learn package to program
2. Textbook 10.8
3. Textbook 10.9
4. For the deep learning Neural Network structures CNN, RNN, GNN, list couple of usage scenarios for each structure respectively.
5. Why for the RNN, the hidden layer not only takes input from the input layer, also takes into from the node ahead of it?
6. In CNN, what are the convolutional layer composed of?
7. When doing backpropagation to train the network, what are parameters you need to adjust for MLP(Multiple Layer Perceptron), CNN, and RNN respectively?
8. What are the mostly commonly used Loss Function in the NN training?
9. List 3 mostly commonly used methods to improve the Neural Network training.
Please show your own original work. Direct copy from an answer key or duplicated homework isn’t accepted.
below i attached all the class note slides textbook pdf attached as well . i also attached the exact screen shot of how the asssignment explaning instructions looks
Classification and regression trees are powerful and intuitive modeling tools. In your initial post please touch on all of the following:
Provide two examples – one of an application where regression trees may be used and one of an application where classification trees may be used;
Provide at least 1 strength and 1 weakness for classification and regression trees;
Last week we investigated the use of multiple linear regression as a predictive method; this week we investigate regression trees to predict. Given two models, one multiple linear regression and the other a regression tree, what would be your criteria for judging the most appropriate model of the two as a predictive model.
Workforce Engagement Assessment: Students will evaluate,
analyze, and report on workforce data provided by the instructor to generate a
report describing the target workforce, their current engagement state,
strengths and weaknesses, and a series of actionable and metric-based
recommendations to accentuate strengths and address weaknesses. In an
appendix, you must show each item, a brief description of that item, its mean,
standard deviation, and the percent frequency distribution (i.e., per anchor).
The final
deliverable is a formal report specifying the information germane to your
respective option. It must also contain information on the following:
A one-page executive summary of the report and its key findings.
The required and optional information germane to your project selection.
All report options should generally follow the format of
Introduction/Purpose, Nature of the Sample, Methodology (i.e., what
statistical tests were conducted and why), Key Findings and Non-
Findings, Recommendations (with metrics), Costs (direct and indirect),
and an Implementation Timeline with project performance metrics.
An appendix detailing all data calculations and key statistics. There is
no page limit to the appendix; although, poorly formatted appendices will
be graded significantly lower.
The final deliverable should be written in double-spaced 12-point font with 1”
margins, contain a cover sheet with the title and student name, and all
references (including generative AI) should be cited. Sections where
generative AI was used for editing should be indicated. There is no page length
requirement.
1. Briefly describe and give examples of each of the following approaches to clustering: partition-ing methods, hierarchical methods, density-based methods.
2. After chapter exercise 8.2. You can use the computer program to do the step (b)
3. After chapter exercise 8.4
4. After chapter exercise 8.13
5. After chapter exercise 8.15
6. How to detect the clustering tendency for the dataset?
7. How to decide the number of clusters?
8. The method to measure the clustering quality can be categorized as Extrinsic and Intrinsic, depending on the existence of Ground Truth. Explain what Extrinsic method and Intrinsic method try to address respectively, and explain 1 clustering-quality-measuring algorithm for each of them.
9. Name and explain the common ways to calculate the distance between clusters.
Please show your own original work. Direct copy from an answer key or duplicated homework isn’t accepted.
below i attached all the class note slides textbook pdf attached as well . i also attached the exact screen shot of how the asssignment explaning instructions looks
Python knowledge is required. Pycharm prgram has to be used.
The subject deals with classification , linear regression, Decision tree, Random Forest, Majority Baseline
CJ 501-502 Research Methods and Data Analysis
Mental health courts (MHCs) are being implemented as a means of diverting persons with severe
mental illness who have committed crimes into court-mandated treatment programs instead of
the prison system. You have been asked to conduct a study of the effectiveness of these courts
with regard to recidivism rates.
Design a research study that will address this issue.
Within the context of this assignment:
• State your research question
• Provide your null and alternative (research) hypotheses
• What are your independent and your dependent variables?
• Give an example of how you will measure your key variables. State the level of measurement
(nominal, ordinal, interval, ratio) for both your dependent and your independent variable and
show why they are the level of measurement you state.
• What research design (i.e., cross-sectional, longitudinal, experimental, quasi-experimental) is
most appropriate for this study? Why?
• What is your population of interest?
• Discuss how you will obtain your samples (what type of sampling method will you use and why,
what is your sampling frame). Be as specific as possible, including sample size.
• How will you conceptualize and operationalize your variables?
• What control variables, if any, will you include and why?
• Describe the major ethical issues likely to be associated with this study and how you will resolve
them.
• Provide an explanation of the type of statistical analysis you will use, and why. As you will not
have any actual data to test, no calculations will be required; but you must describe the data set-
up. Determine the degrees of freedom for your test and provide the significance level.
• How will you determine if you have a statistically-significant result?
• Make the argument for why your measurement approach will have both reliability and validity
• Discuss the policy implications
You should aim for at least three pages – and no more than five pages.
Do not include a title page or abstract; if you do so, these (along with your references page)
will not be counted toward your page total.
You are permitted to use any legitimate, citeable materials in writing your answers. You must
reference/cite where you have obtained all information. You should never copy and paste
material, only use it to supplement your answers. You should aim for 3-7 academic sources.
Essay Format
You will present your work with correct spelling, grammar, vocabulary and syntax.
You will use the correct APA formatting style throughout. APA style is defined in The
Publication Manual of the American Psychological Association – 7th edition.
If you need guidance on the use of APA style you can refer to one of these free web sites:
• The American Psychological Association (APA) https://apastyle.apa.org/
• OWL Purdue https://owl.purdue.edu/owl/research_and_citation/apa_style/
— or one of many similar free sites.
You should use 12-point Times New Roman font, with lines double spaced, and a 1-inch
margin on all sides. Your work will be graded down for errors in spelling, grammar, APA style,
formatting, etc.
Seven Dimensions: Standard Questions to Ask Yourself
Essays will be evaluated using seven dimensions. The information below outlines those
dimensions, the evaluation standard, and questions you should ask yourself when proofreading your exam prior to submission.
Completeness: Discussed the question/statement with sufficient depth.
Did you answer the questions that were asked, and all parts of each question?
Breadth: Answered the questions with an understanding of the breadth of theories,
concepts, and philosophies of criminology.
Do your answers demonstrate a reasonably broad knowledge of the field?
Depth: Demonstrated knowledge of aspects of concepts in criminal justice.
Do your answers demonstrate an understanding of the applications in criminal justice?
Evidence: Provided appropriate and sufficient citations and references.
Are your answers well documented with specific sources or are they merely reflections of
personal opinion/experience?
Examples: Used appropriate examples to explain the narrative.
Did you provide examples appropriate to the concepts in your essay?
Organization: Organized a logical presentation.
Are your answers logical and well-organized? Is it easy to follow your line of reasoning from
beginning to end?
Style: Used appropriate APA Style (7th ed).
Did you correctly format your essay, including your in-text citations and the reference list?
Academic honesty rules apply to this examination. In particular, you are not permitted to copy from anyone else, commit plagiarism, collaborate, or discuss the exam contents with anyone other than the examination proctor. Using material withour proper citation – including material from AI sources or from paraphrase web sites – is plagiarism. Your exam essays will be passed through AI-detecting software.
Assignment Content
You are the vice president for information technology at a small, growing business. You have been tasked with developing a plan for maintaining databases for storage of business data and use in business analytics. In Weeks 1–5, you will work on gathering information in a Database Management Plan. In Week 6, you will present your plan in a 20-minute presentation (10 to 12 slides) to the president of information technology.
The presentation will provide recommendations to an organization regarding how to develop a plan for the maintenance of databases that store business data and its use in business analytics.
To begin preparations for your presentation, create a 700-word entry in your Database Management Plan. You will use information from this entry in your presentation due in Week 6. In your Database Management Plan entry, include the following:
Provide an overview of how databases can be used in a company to store and extract information.
Decide what data elements need to be stored.
Analyze major components of the SDLC when developing this database application.
A Database Management Plan template is available to help you record and organize your information.
Cite sources to support your assignment.
Submit your assignment.
Question 2
– reply to question 1 and respond in a short way response ( short and simple ) to post 1 and to
Iwo imagine that, during a team meeting, your manager has asked you to start the meeting off by explaining the difference between “data” and “information,” terms that are often used interchangeably but, in fact, mean different things. How would you explain this difference?
Respond to the following in a minimum of 175 words:
Contrast the terms “data” and “information.” Use Figure 1-1 in Ch. 1, “The Database Environment and Development Process,” of Modern Database Management as a starting point. Provide 2 examples of data and information from your own experiences. This may well lead to some differences of opinion and the conclusion that one person’s data may be another person’s information.
post 1 to reply to – Sarah Kakara
4/3/24, 11:58 AM
NEW
I view data as the building blocks of information. Without data, you have no information.
One example came to me Monday night as severe weather came through my area. The radar is capable of taking data about the wind speed and direction and use it to produce information about the structure of the storm. In this case, it can recognize rotation within the storm that may produce a tornado. This means the National Weather Service is able to issue a tornado warning well before the tornado ever forms. In some cases one never forms, as was the case for my area on Monday. Without looking at all the data points together, it would be impossible to obtain the information about the rotation within the storm.
Another example is from when I was in the Air Force. While working on the A-10 aircraft, some individuals started noticing stress fracturing in the wings on a few aircraft. We were then directed to perform inspections of all wings on our aircraft to determine if cracks were present, how many there were, and their severity. After gathering this data, we were able to identify a trend which led to a wing retrofit across all A-10s in the service, beginning with the aircraft with the most severe cracks. Without the data, we would not have had the information to see there was an issue.
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Post 2 to reply to – Reginald Joseph
4/3/24, 7:11 AM
NEW
From what I have learned so far, is that data, at its core refers to raw, unprocessed facts and figures. These are the individual pieces of the puzzle, so to speak. Data can be anything from numbers, characters, to images, yet devoid of context.
Information, on the other hand, is what you get when you process and organize data in a way that adds value and context. Information is data that has been interpreted and presented within a context so that it can inform decisions or actions. It answers questions and provides insights that data alone cannot.
In my journey as a writer of stories and screenplays, data becomes an invaluable ally, weaving its way through the creative process to enhance the depth and authenticity of my narratives. By harnessing data, I can delve into character development, setting, and plot dynamics with more precision, breathing life into my creations.
For instance, I analyze social media trends or use data analytics to understand popular themes, character archetypes, and plot structures that resonate with my target audience. This insight guides the formulation of relatable and relevant characters and compelling story arcs. Furthermore, historical data and cultural research enrich my settings, ensuring they reflect the realism and nuance of a particular time or environment.
In crafting dialogues, I might even draw upon linguistic studies or databases of colloquial speech, giving my characters voices that are authentic and diverse. Data-driven feedback, such as reader responses and critique analyses, also informs my drafts and revisions, helping me refine my stories to better connect with the audience, and ultimately, sculpting narratives that are not only imaginative but also grounded in the realities that the audience is looking for.
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