Using the information provided including the photograph create learn to ride flyer in Word be in style (STYLE SET) OR (COLOR THEME) if no other
WK 3 – Word Flyer 1.pdf WK3 Word Flyer text – LEARN TO RIDE.docx
Using the information provided including the photograph create learn to ride flyer in Word be in style (STYLE SET) OR (COLOR THEME) if no other
WK 3 – Word Flyer 1.pdf WK3 Word Flyer text – LEARN TO RIDE.docx
In no less than 250 words, explain the different security measures that each version of SNMP uses. What is the different between SNMPv1, v2c and v3? Respond to two other learners by the end of the week.
Discuss in 500 words or more federated architecture in cloud systems. Remember that this is a cloud class not a database class.
Use at least three sources. Use the Research Databases available from the Danforth Library not Google. Include at least 3 quotes from your sources enclosed in quotation marks and cited in-line by reference to your reference list. Example: “words you copied” (citation) These quotes should be one full sentence not altered or paraphrased. Cite your sources using APA format. Use the quotes in your paragaphs. Stand alone quotes will not count toward the 3 required quotes.
Write in essay format not in bulleted, numbered or other list format.
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https://www.homeworkmarket.com/questions/access-help
Discussion:
This week we focus on globalization concepts. Please explain the concept of globalization and the role information technology has in the global market.
Short answer questions:
Execercise:
1. Compare the concept of Friedman’s “Globalization 3.0″ with Nielsen empowerment stage of the digital divide
2. Provide one example of how information technology has created an ethical dilemma that would not have existed before the advent of I.T.
Practical connection test (3pages for sure)
This week select an organization that has a Global platform (they operate in more than one country), that has demonstrated operational excellence. In this paper, perform the following activities:
The above submission should be three pages in length. Remember the total length does not include the APA approved cover page or the references. There should be at least three APA approved references to support your work.
After completing the reading this week, we reflect on a few key concepts this week:
Please be sure to answer all the questions above in the initial post.
Please ensure the initial post and two response posts are substantive. Substantive posts will do at least TWO of the following:
At least one scholarly (peer-reviewed) resource should be used in the initial discussion thread. Please ensure to use information from your readings and other sources from the UC Library. Use APA references and in-text citations.
Please be sure to engage by Wednesday at 11:59 pm ET and then engage on two more days throughout the week (for a total of three days of engagement, before Sunday at 11:59 pm, ET.
Part 1 –
Following is the link of the Project and Dataset :
https://www.analyticsvidhya.com/blog/2018/05/24-ultimate-data-science-projects-to-boost-your-knowledge-and-skills/
Run the code several times and show the intended output…you also need to EXPLAIN the output…
You will also need to provide output for the following:
Python file containing your code…
Dimensions of the data…
Sample of the data…
Statistical summary of the data…
Class distribution…
One univariate and one multivariate diagram…
Decision Tree…explain the best depth and why?…
Results of training and new data, 80%-20% split…
Accuracy report…what is it telling us?…
Confusion matrix…what is it telling us?…
Classification report…what is it telling us?…
Results of training and new data…
[9:28 PM, 12/10/2020] Mohammed Monroe: Part 1 –
Following is the link of the Project
1. Iris Data Set
https://www.analyticsvidhya.com/blog/2018/05/24-ultimate-data-science-projects-to-boost-your-knowledge-and-skills/
Run the code several times and show the intended output…you also need to EXPLAIN the output…
You will also need to provide output for the following:
Python file containing your code…
Dimensions of the data…
Sample of the data…
Statistical summary of the data…
Class distribution…
One univariate and one multivariate diagram…
Decision Tree…explain the best depth and why?…
Results of training and new data, 80%-20% split…
Accuracy report…what is it telling us?…
Confusion matrix…what is it telling us?…
Classification report…what is it telling us?…
Results of training and new data, 50%-50% split…
Accuracy report…what is it telling us?…
Confusion matrix…what is it telling us?…
Classification report…what is it telling us?…
Part 2 – Updated Code…
Now that you have a working base of code, let’s apply it to a “real world” scenario…
Find an article or video that shows a potentially SIMILAR usage of the application you created in Part 1…
Update the original application so that it “works” for the NEW application…
In this “Movie Recommendation” project, you might find an article on “book recommendations” …you would then update the original program to handle the new scenario…
YOU MUST UPDATE THE ORIGINAL CODE…do not provide entirely new code base.
Run the code several times and show the intended output…you also need to EXPLAIN the output…
You will also need to provide the same output for THIS application, as you did for the ORIGINAL application…specifically:
Python file containing your code…
Dimensions of the data…
Sample of the data…
Statistical summary of the data…
Class distribution…
One univariate and one multivariate diagram…
Decision Tree…explain the best depth and why?…
Results of training and new data, 80%-20% split…
Accuracy report…what is it telling us?…
Confusion matrix…what is it telling us?…
Classification report…what is it telling us?…
Results of training and new data, 50%-50% split…
Accuracy report…what is it telling us?…
Confusion matrix…what is it telling us?…
Classification report…what is it telling us?…
(OR)
building an AI machine/Deep learning applicationPart 1 –
Following is the link of the Project and Dataset :
https://www.analyticsvidhya.com/blog/2016/06/quick-guide-build-recommendation-engine-python/
https://grouplens.org/datasets/movielens/100k/
Run the code several times and show the intended output…you also need to EXPLAIN the output…
You will also need to provide output for the following:
Python file containing your code…
Dimensions of the data…
Sample of the data…
Statistical summary of the data…
Class distribution…
One univariate and one multivariate diagram…
Decision Tree…explain the best depth and why?…
Results of training and new data, 80%-20% split…
Accuracy report…what is it telling us?…
Confusion matrix…what is it telling us?…
Classification report…what is it telling us?…
Results of training and new data, 50%-50% split…
Accuracy report…what is it telling us?…
Confusion matrix…what is it telling us?…
Classification report…what is it telling us?…
Part 2 – Updated Code…
Now that you have a working base of code, let’s apply it to a “real world” scenario…
Find an article or video that shows a potentially SIMILAR usage of the application you created in Part 1…
Update the original application so that it “works” for the NEW application…
In this “Movie Recommendation” project, you might find an article on “book recommendations” …you would then update the original program to handle the new scenario…
YOU MUST UPDATE THE ORIGINAL CODE…do not provide entirely new code base.
Run the code several times and show the intended output…you also need to EXPLAIN the output…
You will also need to provide the same output for THIS application, as you did for the ORIGINAL application…specifically:
Python file containing your code…
Dimensions of the data…
Sample of the data…
Statistical summary of the data…
Class distribution…
One univariate and one multivariate diagram…
Decision Tree…explain the best depth and why?…
Results of training and new data, 80%-20% split…
Accuracy report…what is it telling us?…
Confusion matrix…what is it telling us?…
Classification report…what is it telling us?…
Results of training and new data, 50%-50% split…
Accuracy report…what is it telling us?…
Confusion matrix…what is it telling us?…
Classification report…what is it telling us?…
This week’s journal article focuses on attribution theory and how it influences the implementation of innovation technologies. Two types of employee attributions are noted in the article (intentionality and deceptive intentionality), please review these concepts and answer the following questions:
Be sure to use the UC Library for scholarly research. Google Scholar is also a great source for research. Please be sure that journal articles are peer-reviewed and are published within the last five years.The paper should meet the following requirements:
The writing should be clear and concise. Headings should be used to transition thoughts. Don’t forget that the grade also includes the quality of writing.
The final portfolio project is a three- part activity. You will respond to three separate prompts but prepare your paper as one research paper in addition to your textbook (which means you’ll have at least 4 sources cited).
Start your paper with an introductory paragraph.
Prompt 1 “Blockchain” (2-3 pages): Explain the major components of blockchain. Be sure to include how blockchain is affecting a global economy and how you see it growing in the future.
Prompt 2 “Big Data” (1-2 pages): Describe your understanding of big data and give an example of how you’ve seen big data used either personally or professionally. In your view, what demands is big data placing on organizations and data management technology? How does big data affect a global economy.
Prompt 3 “Government and Policies” (1-2 pages): Discuss the role government plays in a global economy. Also, look at what policies are currently in place and then discussion what policies should be put in place..
Conclude your paper with a detailed conclusion section.
The paper needs to be approximately 5-8 pages long, including both a title page and a references page (for a total of 7-10 pages). Be sure to use proper APA formatting and citations to avoid plagiarism.
Your paper should meet the following requirements:
• Be approximately 5-8 pages in length, not including the required cover page and reference page.
• Follow APA6 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
• 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.