3D Printing Stage 1 Assignment Before you begin this assignment, be sure you: Have completed all previously assigned readings, particularly those assigned in Weeks 1 and 2 of the class.Read the “3D Printing Case Study." The Case Study presents Mark's 3D printing business and explains how he wants to expand his operation with more IT infrastructure and additional employees.He has asked you to help him better understand what he currently has and what he will need to create the business he envisions.You realize that although he already has several hardware and network components in use, he really does not have any idea how to expand into a larger operation.You decide to begin with what he has, what his requirements are, and what components he will need to meet his requirements. Assignment: Using the Case Study and course materials, your task is to write a paper to Mark that includes the following: Background – briefly describe the business to be supported by the new infrastructure.Current IT infrastructure – List the hardware, software, and network components that Mark currently has in place (not what he wants to add with his "Expansion Plan").Note that you may need to make some assumptions about the components based on what is provided in the Case Study.Requirements - List five requirements Mark has identified that the systems will have to perform or support as he expands his business.These can be "business" needs or part of the 3D printing operation.How requirements will be met - Briefly explain to Mark what system components will be needed to meet each of the five requirements listed above.These may be components he already has or new components to be added.Data representation and storage - Finally, Mark needs to store and use several types of data:digital and numerical, audio, video and graphics data.Explain to him how each of these types of data are represented in digital form, how they are stored, and on which device(s) (either in place or something he needs to add) each type of data will be stored.Include each of the following:Digital and numerical dataAudio dataVideo dataGraphics data References: Incorporate at least two resources correctly; one reference should be from the course materials and one reference should be external.An external resource is a resource other than those provided in the class or textbook.Incorporate properly formatted APA citations in the text of your document for each reference used.Then, place an APA style reference page at the end of your document. Formatting: For academic writing, the writer is expected to write in the third person. In third person, the writer avoids the pronouns I, we, my, and ours. The third person is used to make the writing more objective by taking the individual, the “self,” out of the writing. This method is very helpful for academic writing, a form in which facts, not opinion, drive the tone of the text. Writing in the third person allows the writer to come across as unbiased and thus more informed. Write a short concise paper, 2-3 single spaced pages in length. Use at least two resources with APA formatted citation and reference.Use at least one external reference and one from the course content. Compare your work to the Grading Rubric below to be sure you have met content and quality criteria.Submit your paper as a Microsoft Word document, or a document that can be read in Word.Your submission should include your last name firstin the filename: Lastname_firstname_Stage_1 GRADING RUBRIC: The "right" and "wrong" answers have to do with whether or not you correctly incorporated the course vocabulary and concepts from the textbook to support your choices and have addressed all parts of the assignment.

Task 1Complete the following assignment in one MS word document: Chapter 6– discussion question #1-5 & exercise 4 When submitting work, be sure to include an APA cover page and include at least two APA formatted references (and APA in-text citations) to support the work this week. All work must be original (not copied from any source). 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 Excercise4 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 Chapter 6 • Deep Learning and Cognitive Computing 385 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 reportNeed elobrated answersTask 2Go 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.No plagrism please

Chapter 5 Discussion question 1-4 1. What is an artificial neural network and for what types of problems can it be used? 2. Compare artificial and biological neural networks. What aspects of biological networks are not mimicked by artificial ones? What aspects are similar? 3. What are the most common ANN architectures? For what types of problems can they be used? 4. ANN can be used for both supervised and unsupervised learning. Explain how they learn in a supervised mode and in an unsupervised mode. Exercise 6 Go to Google Scholar (scholar.google.com). Conduct a search to find two papers written in the last five years that compare and contrast multiple machine-learning methods for a given problem domain. Observe commonalities and differences among their findings and prepare a report to summarize your understanding. Internet exercise 7 Go to neuroshell.com. Look at Gee Whiz examples. Comment on the feasibility of achieving the results claimed by the developers of this neural network model. Need answers to above questions with no plagiarism