All posts by : chebby

Project Description:

You are a real estate analyst who works for Mountain View Realty in the North Utah County area. You have consolidated a list of houses sold during the past few months and want to analyze the data. For a simple analysis, you will outline the data and use the Subtotal feature. You will then create two PivotTables and a PivotChart to perform more in-depth analysis.

1. What is deep learning? What can deep learning do that

traditional machine-learning methods cannot?

2. List and briefly explain different learning paradigms/

methods in AI.

3. What is representation learning, and how does it relate

to machine learning and deep learning?

4. List and briefly describe the most commonly used ANN

activation functions.

5. What is MLP, and how does it work? Explain the function

of summation and activation weights in MLP-type ANN.
6.Cognitive computing has become a popular term to define

and characterize the extent of the ability of machines/

computers to show “intelligent” behavior. Thanks to IBM

Watson and its success on Jeopardy!, cognitive computing

and cognitive analytics are now part of many realworld

intelligent systems. In this exercise, identify at least

three application cases where cognitive computing was

used to solve complex real-world problems. Summarize

your findings in a professionally organized report.

NOTE :  be sure to include an APA cover page and include at least two APA formatted references (and APA in-text citations)  
paper should be 1-2 pages lenth.

A three-tier web application architecture has been generically defined as the presentation, business logic, and data storage tiers. However, Amazon Web Services defines the three-tier web application architecture as the web, application, and storage/database tiers.

Write a paper comparing the generic three-tier web application architecture to that applied by Amazon Web Services.

Apply APA Edition 6 formatting.

Use at least three properly documented references (do NOT use wikis).

Correctly cite your references using APA Edition 6 formatting.Your paper should be at least 500 words in length using good grammar.

just follow the instuction from top to bottom write some function and plot the diagram

involve Python, linear algebra, confidence level, bootstrap linear_model

it is a priority that students are provided with strong educational programs and courses that allow them to be servant-leaders in their disciplines and communities, linking research with practice and knowledge with ethical decision-making. This assignment is a written assignment where students will demonstrate how this course research has connected and put into practice within their own career. 

Assignment:
Provide a reflection of at least 500 words (or 2 pages double spaced) of how the knowledge, skills, or theories of this course have been applied, or could be applied, in a practical manner to your current work environment. If you are not currently working, share times when you have or could observe these theories and knowledge could be applied to an employment opportunity in your field of study. 

Requirements:

• Provide a 500 word (or 2 pages double spaced) minimum reflection.
• Use of proper APA formatting and citations. If supporting evidence from outside resources is used those must be properly cited.
• Share a personal connection that identifies specific knowledge and theories from this course.
• Demonstrate a connection to your current work environment. If you are not employed, demonstrate a connection to your desired work environment. 

You should not provide an overview of the assignments assigned in the course. The assignment asks that you reflect how the knowledge and skills obtained through meeting course objectives were applied or could be applied in the workplace.

Briefly respond to all the following questions. Make sure to explain and back up your responses with facts and examples. This assignment should be in APA format.

1) As you consider the reputation service and the needs of customers or individual consumers, as well as, perhaps, large organizations that are security conscious like our fictitious enterprise, Digital Diskus, what will be the expectations and requirements of the customers? Will consumers’ needs be different from those of enterprises? Who owns the data that is being served from the reputation service? In addition, what kinds of protections might a customer expect from other customers when accessing reputations? (Minimum 600 Words – at least two references)

2) How should cache handling be accomplished in order to minimize the ability of the attacker to deliver a payload through the cache? (Minimum 600 Words – at least two references)

Internet of Things

You will review both quantitative and qualitative research.  The topic is up to you as long as you choose a peer-reviewed, academic research piece.  I suggest choosing a topic that is at least in the same family as your expected dissertation topic so that you can start viewing what is out there.  There are no hard word counts or page requirements as long as you cover the basic guidelines.  You must submit original work, however,  and a paper that returns as a large percentage of copy/paste to other sources will not be accepted.  (Safe Assign will be used to track/monitor your submission for plagiarism. Submissions with a Safe Assign match of more than 25% will not be accepted.) 

Please use APA formatting and include the following information:

• Introduction/Background:  Provide context for the research article.  What led the author(s) to write the piece? What key concepts were explored? Were there weaknesses in prior research that led the author to the current hypothesis or research question?
• Methodology:  Describe how the data was gathered and analyzed.  What research questions or hypotheses were the researcher trying to explore? What statistical analysis was used?
• Study Findings and Results:  What were the major findings from the study? Were there any limitations?
• Conclusions:  Evaluate the article in terms of significance, research methods, readability and the implications of the results.  Does the piece lead into further study? Are there different methods you would have chosen based on what you read? What are the strengths and weaknesses of the article in terms of statistical analysis and application? (This is where a large part of the rubric is covered.) 
• References   

Choose any two question (100-300 words).   

Discussion #1: How does prescriptive analytics relate to descriptive and predictive analytics? 

Discussion #2: Explain the differences between static and dynamic models. How can one evolve into the other?

 Discussion #4: Explain why solving problems under uncertainty some-times involves assuming that the problem is to be solved under conditions of risk.  

Can you do programming?