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 #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?
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.
Post should be at least 300 words.
Attached file
1) Discuss in three hundred words or more a situation at work where you felt you had to consider the ethics of something you were being asked to do.
A new medium-sized health care facility just opened and you are hired as the CIO. The CEO is somewhat technical and has tasked you with creating a threat model. The CEO needs to decide from 3 selected models but needs your recommendation. Review this week’s readings, conduct your own research, then choose a model to recommend with proper justifications. Items to include (at a minimum) are:
You will research several threat models as it applies to the health care industry, summarize three models and choose one as a recommendation to the CEO in a summary with a model using UML Diagrams (Do not copy and paste images from the Internet). In your research paper, be sure to discuss the security risks and assign a label of low, medium or high risks and the CEO will make the determination to accept the risks or mitigate them.
Your paper should meet the following requirements:
I want to demo real time chat web application with technology Angular 8 or above (frontend) and Spring (backend) with mysql databse
1. user can signup and login and chat with each other (one to one chat for example facebook)
2. web page design is not needed.
3. all chat should be store in database. if user have some chat and when it logout then after login all previous chat should be present in chat history.
4. all configuration for spring should be in xml based whatever required.
5. it should be work in windows 10.
This assignment is a written assignment where students will demonstrate how this course (Organ Leader & Decision Making) research has connected and put into practice within their own career (IT)
Assignment:
Provide a reflection of at least 500 words (or 2 pages double spaced) of how the knowledge, skills, or theories of this course (Organ Leader & Decision Making) have been applied, or could be applied, in a practical manner to your current work environment (IT, Software Developer). 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.
Don’t forget that the grade also includes the quality of writing.
Research project manager’s positions and please post the following. Please do not copy and paste from web sites.
The answer will be checked for plagiarism.
The answer will be checked for plagiarism.
(1) FULL-LENGTH PROJECT
In response to the COVID-19 pandemic, the White House and a coalition of leading research groups have prepared the COVID-19 Open Research Dataset (CORD-19). CORD-19 is a resource of over 44,000 scholarly articles, including over 29,000 with full text, about COVID-19, SARS-CoV-2, and related corona viruses. This freely available dataset is provided to the global research community to apply recent advances in natural language processing and other AI techniques to generate new insights in support of the ongoing fight against this infectious disease. There is a growing urgency for these approaches because of the rapid acceleration in new coronavirus literature, making it difficult for the medical research community to keep up.
We are issuing a call to action to the world’s artificial intelligence experts to develop text and data mining tools that can help the medical community develop answers to high priority scientific questions. The CORD-19 dataset represents the most extensive machine-readable coronavirus literature collection available for data mining to date. This allows the worldwide AI research community the opportunity to apply text and data mining approaches to find answers to questions within, and connect insights across, this content in support of the ongoing COVID-19 response efforts worldwide. There is a growing urgency for these approaches because of the rapid increase in coronavirus literature, making it difficult for the medical community to keep up.
A list of our initial key questions can be found under the Tasks section of this dataset. These key scientific questions are drawn from the NASEM’s SCIED (National Academies of Sciences, Engineering, and Medicine’s Standing Committee on Emerging Infectious Diseases and 21st Century Health Threats) research topics and the World Health Organization’s R&D Blueprint for COVID-19.
Many of these questions are suitable for text mining, and we encourage researchers to develop text mining tools to provide insights on these questions.
In this project, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared in your presentation. You will use all the skills taught in this course to complete this project step-by-step, with guidance from your instructors along the way. You will first create a project proposal to identify your goals for the project, including the question you wish to answer or explore with data. You will then find data that will provide the information you are seeking. You will then import that data into Tableau and prepare it for analysis. Next you will create a dashboard that will allow you to explore the data in depth and identify meaningful insights. You will then give structure to your data story by writing the story arc in narrative form. Finally, you will consult your design checklist to craft the final viz or data story in Tableau. This is your opportunity to show the world what you’re capable of – so think big, and have confidence in your skills!
Kaggle Website:
https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge
Assignment Length (word count): at least 15 pages.
References: At least 10 peer-reviewed, scholarly journal references.