Please create an account on Wix.com Website and design an instructional website by following the video tutorial. You can click on the Wix Tutorial Video Link Here. Please view the video tutorial first, and then start to work on it. A sample Wix website is Here at https://shali94.wixsite.com/sample. After you create an account at www.wix.com . you can start creating your website relating to your classroom teaching in any content you would like to teach. You need to create at least a total of three web pages, but the more pates are welcome. The first page is the home page, and then the other two pages as subpages. You need to have three buttons linked to three web pages. If some students could not do this project well enough, he/she could come to the classroom class of Wix web design on campus afterwards. You are welcome to come to my Wix class in my classroom for this Wix web design project if you have difficulty with it. Or you can follow the video tutorial to create web pages. Click Save button to save your work, and click the Publish button to publish it online.
project 2
Now that you understand and have created a virtual machine, your Caduceus CTO, Eliza, has asked you to extend that application and provision infrastructure in the cloud. Specifically, you will provision a Windows operating system in the cloud. The provisioned infrastructure could be accessed by any end-user device client. This includes a desktop running Microsoft Windows, a Mac device running Apple MacOS, iPad, Android Tablet, and even a Google Chromebook. You will use any of the aforementioned end-user devices to access the provision infrastructure once this is set up.
Step 1: Log in to the AWS Dashboard
CMIT 495 requires you to complete hands-on assignments in the Amazon Web Services (AWS) virtual environment.To get started, log in to the AWS free account you created in Week 1.
Step 2: Download the Week 2 Assignment Template
Next, watch the video and download the template from the Cloud Computing Assignment Resources page. You will answer the questions and embed the appropriate screenshots of your cloud infrastructure provision as you work.When providing a detailed overview of the steps required to install the Windows operating system on the virtual machine, make sure to include screenshots of each step in the process. Specific details and instructions are included within the Week 2 Assignment Template.
Step 3: Install and Configure a Microsoft Windows Operating System
- Provision cloud infrastructure via Amazon and a OS platform (PaaS) by installing and configuring a Microsoft Windows operating system that can be accessed on demand by any end-user device.
- Research and use AWS documentation and tutorials for instructions and guidance to complete the assignment.
- Consult the AWS Connection Documentation in order to connect to the Microsoft Windows operating system.
- How Will My Work Be Evaluated? The following evaluation criteria aligned to the competencies will be used to grade your assignment:
- 1.4.1: Produce grammatically correct material in standard academic English that supports the communication.
- 2.2.3: Explain the assumptions underlying viewpoints, solutions, or conclusions.
- 2.3.1: State conclusions or solutions clearly and precisely.
- 3.1.1: Identify quantitative information that is relevant to a problem or situation.
- 3.1.2: Analyze quantitative data using an appropriate method.
- 10.1.1: Identify the problem to be solved.
- 11.1.3: Install software.
- 11.3.1: Add and update systems as required.
- 11.2.1: Configure technology according to stakeholder specifications and requirements.
Step 4: Upload Your Work to the Assignment Folder
- When complete, export your file as a PDF and upload to the LEO Assignments Folder (e.g., Project 2 – Cloud Computing).
Step 5: Stop and Terminate Your Amazon Instance
After you complete the Week 2 Assignment, stop and terminate your Amazon deployment/instances so you do not receive any unexpected charges on your account.
homework help
final case
Chapter 5 exercises
20. Consider the task of building a classifier from random data, where the attribute values are generated randomly irrespective of the class labels. Assume the data set contains records from two classes, “+” and “−.” Half of the data set is used for training while the remaining half is used for testing.
(a) Suppose there are an equal number of positive and negative records in the data and the decision tree classifier predicts every test record to be positive. What is the expected error rate of the classifier on the test data?
(b) Repeat the previous analysis assuming that the classifier predicts each test record to be positive class with probability 0.8 and negative class with probability 0.2.
(c) Suppose two-thirds of the data belong to the positive class and the remaining one-third belong to the negative class. What is the expected error of a classifier that predicts every test record to be positive?
(d) Repeat the previous analysis assuming that the classifier predicts each test record to be positive class with probability 2/3 and negative class with probability 1/3.
Chapter 6 exercises
5. Prove Equation 6.3 in the book. (Hint: First, count the number of ways to create itemset that forms the left hand side of the rule. Next, for each size k itemset selected for the left-hand side, count the number of ways to choose the remaining d − k items to form the right-hand side of the rule.)
17. Suppose we have market basket data consisting of 100 transactions and 20 items. If the support for item a is 25%, the support for item b is 90% and the support for itemset {a, b} is 20%. Let the support and confidence thresholds be 10% and 60%, respectively.
(a) Compute the confidence of the association rule {a} -> {b}. Is the rule interesting according to the confidence measure?
(b) Compute the interest measure for the association pattern {a, b}. Describe the nature of the relationship between item a and item b in terms of the interest measure.
(c) What conclusions can you draw from the results of parts (a) and (b)?
(d) NOT NEEDED FOR THE TEST
Chapter 7 exercises
5. For the data set with the attributes given below, describe how you would convert it into a binary transaction data set appropriate for association analysis. Specifically, indicate for each attribute in the original data set.
(a) How many binary attributes it would correspond to in the transaction data set,
(b) How the values of the original attribute would be mapped to values of the binary attributes, and
(c) If there is any hierarchical structure in the data values of an attribute that could be useful for grouping the data into fewer binary attributes. The following is a list of attributes for the data set along with their possible values. Assume that all attributes are collected on a per-student basis:
• Year : Freshman, Sophomore, Junior, Senior, Graduate: Masters, Graduate: PhD, Professional
• Zip code : zip code for the home address of a U.S. student, zip code for the local address of a non-U.S. student
• College : Agriculture, Architecture, Continuing Education, Education, Liberal Arts, Engineering, Natural Sciences, Business, Law, Medical, Dentistry, Pharmacy, Nursing, Veterinary Medicine
• On Campus : 1 if the student lives on campus, 0 otherwise
• Each of the following is a separate attribute that has a value of 1 if the person speaks the language and a value of 0, otherwise.
- Arabic
- Bengali
- Chinese Mandarin
- English
- Portuguese
- Russian
- Spanish
Chapter 8 exercises
1. Consider a data set consisting of 2^(20) data vectors, where each vector has 32 components and each component is a 4-byte value. Suppose that vector quantization is used for compression and that 2^(16) prototype vectors are used. How many bytes of storage does that data set take before and after compression and what is the compression ratio?
8. Consider the mean of a cluster of objects from a binary transaction data set. What are the minimum and maximum values of the components of the mean? What is the interpretation of components of the cluster mean? Which components most accurately characterize the objects in the cluster?
9. Give an example of a data set consisting of three natural clusters, for which (almost always) K-means would likely find the correct clusters, but bisecting K-means would not.
11. Total SSE is the sum of the SSE for each separate attribute. What does it mean if the SSE for one variable is low for all clusters? Low for just one cluster? High for all clusters? High for just one cluster? How could you use the per variable SSE information to improve your clustering?
13. The Voronoi diagram for a set of 1( points in the plane is a partition of all the points of the plane into K regions, such that every point (of the plane) is assigned to the closest point among the 1( specified points. (See Figure 8.38.) What is the relationship between Voronoi diagrams and K-means clusters? What do Voronoi diagrams tell us about the possible shapes of K-means clusters?
Assignment weekly due
Answer the following question:
Which role do you feel is more important in the organization – being the data administrator or the database administrator? Explain the difference as well as explain your selection. Provide a business use case example that exemplifies this choice clearly.
Instructions
This is a required assignment, worth 15 points. The assignment must be submitted by the due date. Late assignment are not allowed.
You are required to submit a minimum of two postings. Points will be deducted for not fulfilling this minimum requirement.
Apply and use the basic citation styles of APA is required. Points are deducted per the rubric for this behavior.
Do not claim credit for the words, ideas, and concepts of others. Use in-text citation and list the reference of your supporting source following APA’s style and formatting. Points are deducted per the rubric for this behavior.
Do not copy and paste information or concepts from the Internet and claim that is your work. It will be considered Plagiarism and you will receive zero for your work. A second offense results in a zero for the course. A third is termination from the university.
DSBDA W 1 D
In this week’s reading, the concept of 3-F Method is introduced. Discuss the purpose of this concept and how it is calculated. Also perform your own research/analysis using these factors and provide your assessment on whether the United States need to introduce top talents in the field of big data and cloud computing by using bibliometrics.
binary search tree java
need all bst.java methods to be completed and working.
the instructions for the methods are in DefaultMap.java
no need to look into other 3 files, mainly for testing and compiling
do not change source code
homework help
Access control Assignment 9
Discuss the benefits of technology to support Access Control.
Length, 2 – 3 pages.
All paper are written in APA formatting, include title and references pages (not counted). Must use at least two references and citations.
Please reference the rubric for grading.
Biography Viewer using XCode
The app should be made using Xcode with swift Language. No other programming languages should be used just SWIFT.
