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Two tasks, Only bid you have the book called “Information Systems for Business and Beyond Questions”

The paper should be 2-3 page MAX excluding the Cover and reference page
Information Systems for Business and Beyond Questions:
Chapter 3 – study questions 1-8, Exercise 2, 4

2 Discussion Questions needs to be answered in 2 Separate MS Word doc. The book is attached below

Discussion 1 (Chapter 5): What is the relationship between Naïve Bayes and Bayesian networks? What is the process of developing a Bayesian networks model?
Your response should be 250-300 words. There must be at least FOUR APA formatted reference (and APA in-text citation) to support the thoughts in the post. Do not use direct quotes, rather rephrase the author’s words and continue to use in-text citations.
Discussion 2 (Chapter 6): List and briefly describe the nine-step process in con-ducting a neural network project.
Your response should be 250-300 words.
There must be at least FOUR APA formatted reference (and APA in-text citation) to support the thoughts in the post. Do not use direct quotes, rather rephrase the author’s words and continue to use in-text citations.

Need answers to the Questions from the book. All details should be mentioned below. The book is attached as well

Computer Science Assignment Help Complete the following assignment in one MS word document:Chapter 5 Assignment Questions
Discussion Question #1: What is an artificial neural network and for what type of problem can it be used for?
Discussion Question #2: Compare artificial and biological neural networks. What aspect of biological networks are not mimicked by artificial ones? What aspects are similar?
Discussion Question #3: What are the most common ANN architectures? For what types of problem can they be used?
Discussion Question #4: ANN can be used 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 ( 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 Look at USG Corporation example. Comment on the feasibility of achieving the results claimed by the developers of this neural network model.
Chapter 6 Assignment Questions
Discussion Question #1: What is deep learning? What can deep learning do that traditional machine-learning methods cannot?
Discussion Question #2: List and briefly explain different learning paradigms/methods of AI.
Discussion Question #3: What is representation learning, and how does it relate to machine learning and deep learning?
Discussion Question #4: List and briefly describe the most commonly used ANN activation functions.
Discussion Question #5: What is MLP, and how does it work? Explain the function of summation and activation weights in MLP-type ANN.
Exercise #4: 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 resolve complex real-world problems. Summarize your findings in a professional organized report.When submitting work, be sure to include an APA cover page and include at least 4-5 APA formatted references (and APA in-text citations) to support the work. All work must be original (not copied from any source).

on the growth of terrorism funding with the help of ransomware attacks and the rate of increased cybercrimes

I could use help on re-organizing the title so please feel free to change it if desired. I submitted my topic purposal and the feedback was “the challenge with this study is its scale. Studying terrorism is likely to be beyond the scale of a thesis (and possibly doctoral dissertations). Ask yourself: What data would you collect, how would you collect it, and how would you analyze it in order to answer your research questions?”
(see attached Assignment 1 for that submission)
-Major Areas to Review: This section is expected to be over 1 page in length however typically less than 3 pages with appropriate references. Please include the following:
-Problem (Use Level 2 Heading): What is the problem you aim to address in your paper? What is the problem you hope to solve? Based on the type of study intended, present here a clear statement of the problem to be investigated.
-Purpose (Use Level 2 Heading): while the purpose statement is used to provide the scope and direction for your paper, it is also used to make a commitment to the reader in respect to what the reader will discover before reading the paper. When you write your paper, you will use several sentences to write your purpose statement. Your thesis statement is generally placed at the end of your purpose statement. Please do not use first or second person. Use third person point of view when writing.
-Research Questions (Use Level 2 Heading): Provide two to three. Based on the type of study intended, present here a clear set of specific research question(s) which your study will address.
-Significance of the Study (Use Level 2 Heading): Delineate the significance of the research, what knowledge will it create, what gaps in our knowledge will it help fill, how will it advance the selected theory or theories, what new research methods will it advance, how the results may be applied to improve existing policy or procedures, etc.—as appropriate for the study.
-Definitions of Terms that you Have (Use Level 2 Heading): What are unclear terms you need to define for the reader? You will build on your list of terms as you write your Literature Review.
-Writing Format: APA, you are to submit your Introduction that typically ranges from 1 – 2 pages in length with no less than 5 peer reviewed references.
**Matching percent from direct/in-direct quotes should not exceed 10%.
-Grammatical, spelling or punctuation—the writing is grammatically correct, clear and concise. The response is well formulated and easy to read and understand. Correct terminology was used when needed.

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