Should corporations be more concerned about the data and physical security of their customers, especially when it pertains to the use of IoT and Smart Devices?

Introduction, background focusing on why conflicts occur within the teams.

 need to write 4 pages excluding reference page.

 Download and read the document and answer all questions in the document. Please see attached document H4 & APA Criteria doc.     

Question 1: Compare and contrast predictive analytics with prescriptive and descriptive analytics. Use examples.

Your response should be 250-300 words.  Respond to two postings provided by your classmates.

There must be at least one 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.

Question 2: Discuss the process that generates the power of AI and discuss the differences between machine learning and deep learning.

Your response should be 250-300 words.  Respond to two postings provided by your classmates.

There must be at least one 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.

#1 Small to medium businesses are exposed to risks on a daily basis. The impact of these risks could cause a decrease in revenue and/or an increase in expenses. As we all know, every business is subject to risks at any time. The potential losses as a result of unmanaged risks could be catastrophic. Insurance policies can be purchased that can help protect businesses from risks caused by certain events and from risks to their employees’ personal security.You have been given the task of persuading your business’s board of directors to purchase insurance policies that will help manage the risks mentioned above. The insurance policies have already been chosen, but now you must explain the details of the insurance policies, including the contracts involved in the policies to the board and convince the board that these policies really will protect the business from risks. In addition, you must describe what the terms in the insurance contracts mean and how they can be applicable to each business area.In order to do this, you will need to create a portfolio document with the following sections:

• Define insurance and an insurance policy.
• Identify the two basic types of insurance.
• Describe how insurance policies can be used to protect the business from risks caused by certain events and from risks to their employees’ personal security while on the job.
• Define the four essential elements of a valid insurance contract: offer and acceptance, consideration, legal capacity, and purpose.
• Identify the common terms found in insurance contracts that specify exactly what risks an insurer will cover.
• Define catastrophe theory and how it differs from risk management principles.
• Discuss how catastrophe theory can be utilized by your organizations to manage and recover from risks.

Requirements:

• There is no minimum or maximum required number of pages. Your response will be considered complete, if it addresses each of the components outlined above.
• Use of proper APA formatting and citations – If supporting evidence from outside resources is used those must be properly cited. A minimum of 7 sources (excluding the course textbook) from scholarly articles or business periodicals is required.
• Include your best critical thinking and analysis to arrive at your justification.

Text

Title: Managing Project Risks ISBN: 9781119489733 Authors: Peter J. Edwards, Paulo Vaz Serra, Michael Edwards Publisher: John Wiley & Sons Publication Date: 2019-08-13

1 Association rule mining

In this notebook, you’ll implement the basic pairwise association rule mining algorithm.

To keep the implementation simple, you will apply your implementation to a simplified

dataset, namely, letters (“items”) in words (“receipts” or “baskets”). Having finished that code,

you will then apply that code to some grocery store market basket data. If you write the code

well, it will not be difficult to reuse building blocks from the letter case in the basket data case.

1.1 Problem definition

Let’s say you have a fragment of text in some language. You wish to know whether there are

association rules among the letters that appear in a word. In this problem:

• Words are “receipts”

• Letters within a word are “items”

b, where a and b are

letters. You will write code to do that by calculating for each rule its confidence, conf(a =

)

You want to know whether there are association rules of the form, a =

)

b).

“Confidence” will be another name for an estimate of the conditional probability of b given a, or

Pr[b

a].

j

1.2 Sample text input

Let’s carry out this analysis on a “dummy” text fragment, which graphic designers refer to as the

lorem ipsum:

In [ ]: latin_text = “””

Sed ut perspiciatis, unde omnis iste natus error sit

voluptatem accusantium doloremque laudantium, totam

rem aperiam eaque ipsa, quae ab illo inventore

veritatis et quasi architecto beatae vitae dicta

sunt, explicabo. Nemo enim ipsam voluptatem, quia

voluptas sit, aspernatur aut odit aut fugit, sed

quia consequuntur magni dolores eos, qui ratione

voluptatem sequi nesciunt, neque porro quisquam est,

qui dolorem ipsum, quia dolor sit amet consectetur

adipisci[ng] velit, sed quia non numquam [do] eius

1

modi tempora inci[di]dunt, ut labore et dolore

magnam aliquam quaerat voluptatem. Ut enim ad minima

veniam, quis nostrum exercitationem ullam corporis

suscipit laboriosam, nisi ut aliquid ex ea commodi

consequatur? Quis autem vel eum iure reprehenderit,

qui in ea voluptate velit esse, quam nihil molestiae

consequatur, vel illum, qui dolorem eum fugiat, quo

voluptas nulla pariatur?

At vero eos et accusamus et iusto odio dignissimos

ducimus, qui blanditiis praesentium voluptatum

deleniti atque corrupti, quos dolores et quas

molestias excepturi sint, obcaecati cupiditate non

provident, similique sunt in culpa, qui officia

deserunt mollitia animi, id est laborum et dolorum

fuga. Et harum quidem rerum facilis est et expedita

distinctio. Nam libero tempore, cum soluta nobis est

eligendi optio, cumque nihil impedit, quo minus id,

quod maxime placeat, facere possimus, omnis voluptas

assumenda est, omnis dolor repellendus. Temporibus

autem quibusdam et aut officiis debitis aut rerum

necessitatibus saepe eveniet, ut et voluptates

repudiandae sint et molestiae non recusandae. Itaque

earum rerum hic tenetur a sapiente delectus, ut aut

reiciendis voluptatibus maiores alias consequatur

aut perferendis doloribus asperiores repellat.

“””

print(“First 100 characters:n {} …”.format(latin_text[:100]))

Exercise 0 (ungraded). Look up and read the translation of lorem ipsum!

Data cleaning. Like most data in the real world, this dataset is noisy. It has both uppercase and

lowercase letters, words have repeated letters, and there are all sorts of non-alphabetic characters.

For our analysis, we should keep all the letters and spaces (so we can identify distinct words), but

we should ignore case and ignore repetition within a word.

For example, the eighth word of this text is “error.” As an itemset, it consists of the three unique

letters,

e, o, r

f

g

. That is, treat the word as a set, meaning you only keep the unique letters.

This itemset has three possible itempairs:

e, o

,

e, r

, and

f

o, r

g

f

g

f

g

.

Start by writing some code to help “clean up” the input.

Exercise 1 (normalize_string_test: 2 points). Complete the following function,

normalize_string(s). The input s is a string (str object). The function should return a new

string with (a) all characters converted to lowercase and (b) all non-alphabetic, non-whitespace

characters removed.

Clarification. Scanning the sample text, latin_text, you may see things that look like

special cases. For instance, inci[di]dunt and [do]. For these, simply remove the

non-alphabetic characters and only separate the words if there is explicit whitespace.

2

For instance, inci[di]dunt would become incididunt (as a single word) and [do]

would become do as a standalone word because the original string has whitespace on

either side. A period or comma without whitespace would, similarly, just be treated

as a non-alphabetic character inside a word unless there is explicit whitespace. So

e pluribus.unum basium would become e pluribusunum basium even though your

common-sense understanding might separate pluribus and unum.

Hint. Regard as a whitespace character anything “whitespace-like.” That is, consider

not just regular spaces, but also tabs, newlines, and perhaps others. To detect whitespaces

easily, look for a “high-level” function that can help you do so rather than checking

for literal space characters.

In [ ]: def normalize_string(s):

assert type (s) is str

#

# YOUR CODE HERE

#

# Demo:

print(latin_text[:100], “…n=>”, normalize_string(latin_text[:100]), “…”)

In [ ]: # `normalize_string_test`: Test cell

norm_latin_text = normalize_string(latin_text)

assert type(norm_latin_text) is str

assert len(norm_latin_text) == 1694

assert all([c.isalpha() or c.isspace() for c in norm_latin_text])

assert norm_latin_text == norm_latin_text.lower()

print(“n(Passed!)”)

Exercise 2 (get_normalized_words_test: 1 point). Implement the following function,

get_normalized_words(s). It takes as input a string s (i.e., a str object). It should return a

list of the words in s, after normalization per the definition of normalize_string(). (That is, the

input s may not be normalized yet.)

In [ ]: def get_normalized_words (s):

assert type (s) is str

#

# YOUR CODE HERE

#

# Demo:

print (“First five words:n{}”.format (get_normalized_words (latin_text)[:5]))

In [ ]: # `get_normalized_words_test`: Test cell

norm_latin_words = get_normalized_words(norm_latin_text)

assert len(norm_latin_words) == 250

3

I want you to describe Internet Of Things and  current technologies in use. Review how the technology works. Research the future of these technologies. How will they change businesses and our lives? Paper Requirements: 

• Your paper will comprise 2500 to 3000 words (not including title and reference pages).
• Your paper must be formatted according to APA guidelines as a Word document, double spaced,
• You must support your materials by using at least five appropriate, properly cited sources in addition to your course textbook.
• Formatting: Times New Roman, 12-font, with one-inch margins. 
• No Plagiarism 

GO19_AC_INTRO_GRADER_CAP1 – Rugged Suppliers 1.0

1. Some say that analytics, in general, dehumanize managerial activities, and others say they do not. Discuss arguments for both points of view.
2. What are some of the major privacy concerns in employing intelligent systems on mobile data?
3. Identify some cases of violations of user privacy from current literature and their impact on data science as a profession.
4. Search the Internet to find examples of how intelligent systems can facilitate activities such as empowerment, mass customization, and teamwork.

Create a discussion thread (with your name) and answer the following question(s):

Discussion 1 (Chapter 12): Compare inheritance in the EER model (see Chapter 4) to inheritance in the OO model described in Section 12.1.5 

Instructions:  Your response to the initial question should be 250-300 words.  Next respond to two postings provided by your classmates. The first post should be made by Wednesday 11:59 p.m., EST. I am looking for active engagement in the discussion.  Please engage early and often. You are require to create your initial thread in order to view and respond to the threads posted by other students.  There must be at least one APA formatted reference (and APA in-text citation) to support the thoughts in the post as needed.  Do not use direct quotes, rather rephrase the author’s words and continue to use in-text citations.