All posts by : chebby

 Discussion: List and briefly describe the nine-step process in con-ducting a neural network project. 

Questions: 

 1.What is deep learning? What can deep learning do that the traditional machine-learning method 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. 

Exercise:  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 real-world 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. 

I attached the format of the report, follow the guidelines 

Research project manager’s positions and please post the following. Please do not copy and paste from web sites.

1. Find three different job postings in the area you live in for a Project Manager. What are the items in the three job ads that are the same? Are there any major differences? Also, look up how much a project manager earns in your area. 
2. In your opinion was any of the information that you uncovered in your search interesting or surprising?

Internet Research – WK 6

Go online and search for information about companies that have been harmed or bankrupted by a disaster. Choose one such company and create a brief case study about it. Successful narratives will focus on the manner in which the organization was impacted, including financial losses, losses of sales, or the need for layoffs. Your assignment should be 3-4 paragraphs in length.

Machine Learning Course Project 

 This course project is an opportunity for you to explore a machine learning problem of your choice. 

 There are many datasets out there. UC Irvine has a repository that could be useful for you project: 

  using this link (http://archive.ics.uci.edu/ml/index.php)

Project guideline

**Classifier Implementation 

Implement a classifier or classification algorithm. It can be any classification algorithms we learned or have not learned in the class. 

1. Project Proposal should be 1 page long and Include the following information: 

-Project title; 

-The name of classifier or classification algorithm that you will implement; 

-The programming language you will use; 

-The format of training data you will use, i.e., the source of data set, the attributes’ types, the range of attributes’ values, the size of training set, etc. 

2. Project Report should be maximally 8 pages long and be written by using this link( https://nips.cc/Conferences/2020/PaperInformation/StyleFiles) 

and Include the following information: 

-Abstract 

-The description of implementation process, such as flowchart, functions, pseudocode, or partial codes;

-The description about 1) using training set to build the classifier, and 2) applying the classifier on a small amount of test instances. That is to show how your classifier works, as well as the training errors and test errors. 

-Conclusion 

3. Presentation (10 ~ 20 pages)

-Explain the source code files; 

-Present how your classifier works; 

-Evaluate your classifier. 

 In this homework assignment, you are going to use Cluster Analysis and Decision Tree induction algorithm on a weather forecast problem. It is a binary classification problem to predict whether or not a location will get rain the next day. 

 Discuss ways organizations have built a CSIRT. What are the components to building an effective and successful CSIRT team?  

Packet Sniffing and Wireshark (3OO WORDS)

**The assignment is in the attached file**

Chapter Readings Reflections Journal – Chapter 10 and 11

Need to prepare Chapter Readings Reflections Journal from chapter 7-9 in the attached text book.

The reflection papers should be a minimum of 6 pages (two full pages for each chapter), double-spaced, in proper APA formatting using citations when appropriate.   

Please find attachments contains Text book and referral document about the how the assignment should be.

Each Chapter Reading Reflection should address the following prompts:

• Summarize the content of the chapter addressed.
• What were some of the highlights in this chapter and learning opportunities?
• Share some new ideas and/or thoughts that you developed from the reading of the chapter.
• How do you think you can apply this chapter’s concepts into your home, school, personal-life or work environment?

Please make sure that you look at the example that is also attached!!