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 Memory Game. A 4×4 and 6×6 memory game using “visuals” and “audio”. User will remember the location visual and audio clues. In the audio mode, there is no graphic will be presented to the user. Audio files randomly are randomly scattered over grid, like visual mode. Player touches a cell and hear an audio, then memorize its location to find its pair. The game will have a countdown timer, and keeps best score permanently. Collection view API will be utilized. App has two levels of game, 4×4 and 6×6 grid. User selects game mode and game size. Audio/visual component is required, i.e., appropriate sound and appropriate  visual presentation. 

Requirement ( use PYTHON as development language in Jupyter Notebook)

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1. Use the attached dataset to build RNN(with LSTM) and BERT models to classify text into three classes(Left, right, center)

2. Explanation about the choices made while developing the models

3. Metrics for RNN and BERT models. Must include AUC and ROC curves diagrams and any other additional metrics diagrams 

Data Explanation

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text – Data to be classified

type – Target class 

Write a function playGame(maxValue) to perform the following task (it’s based on an old school yard game called “Fuzz Buzz”):

Create a loop that depends on a variable x starting with the value 1 and increasing in value by 1 for each iteration of the loop, until x reaches a maximum value specified by the formal parameter maxVal. At each iteration of the loop the value of x should be displayed, unless one of the conditions shown below is true, when the message specified below should be displayed instead:

• If the value of x is divisible by 11, skip to the next value of x and display the word “skip”.

• If the value of x is divisible by 10, display the word “fuzz”

• If the value of x is divisible by 4, display the word “buzz”

• If the value of x is divisible by both 10 and 4, display the words “fuzz”

and “buzz”, unless the first rule applies.

• Otherwise just display the value of x.

You can find out if a number is ***** by another using the modulo operator %. This tells you the remainder after integer division. For example:

8 % 2 equals 0 as 2 goes into 8 four times leaving no remainder.

8 % 3 equals 2 as 3 goes into 8 two times leaving a remainder of 2.

You should then create a function runGame() that invites the user to enter an appropriate value for maxValue, and then calls the playGame() function accordingly.

Discuss in 500 words, why institutions might be reluctant to move their IT to the cloud. Consider a specific industry like education, medicine, military, etc. 

Use at least three sources. Use the Research Databases available from the Danforth Library not Google. Include at least 3 quotes from your sources enclosed in quotation marks and cited in-line by reference to your reference list.  Example: “words you copied” (citation) These quotes should be one full sentence not altered or paraphrased. Cite your sources using APA format. Use the quotes in your paragaphs.  Stand alone quotes will not count toward the 3 required quotes.

Copying without attribution or the use of spinbot or other word substitution software will result in a grade of 0. 

Write in essay format not in bulleted, numbered or other list format. 

1)  (35 points) Consider a corpus that contain five documents in Table 1. Using python is fine for this question. In case you use Python for this question, submit your python code too.

Doc1

Decide which attribute the decision tree algorithm would choose.

Doc2

A decision tree is a classification algorithm that is widely used in machine learning. 

Doc3

Making a decision to put a tree is very difficult due to lack of power for the decision

Doc4

Language decision varies from person to person and time to time.

Doc5

Decision trees are different from binary trees or binary search trees.

a)  Build a term-document matrix based on raw count of each term for the corpus in Table 1 after removing stopwords and lemmatizing sentences. Use only noun and verb to build a term-document matrix.

b)  Build a term-document matrix based on tf-idf of each term for the corpus in Table 1 after removing stopwords and lemmatizing sentences. Use only noun and verb to build a term-document matrix.

Show the procedure how you calculated tf-idf.

(Use stopwords provided by NLTK given here: 

{‘of’, ‘against’, ‘ll’, ‘they’, ‘aren’, ‘our’, ‘that’, ‘shouldn’, ‘only’, ‘shan’, ‘o’, “isn’t”, ‘been’, “weren’t”, “you’ve”, ‘myself’, ‘as’, ‘once’, ‘my’, ‘both’, ‘too’, ‘be’, ‘should’, ‘hadn’, ‘in’, ‘does’, “you’ll”, ‘during’, ‘herself’, ‘will’, ‘any’, ‘was’, ‘how’, ‘which’, “didn’t”, ‘but’, ‘had’, ‘more’, ‘needn’, ‘further’, ‘whom’, ‘mustn’, ‘no’, ‘did’, “aren’t”, ‘or’, ‘on’, ‘down’, ‘them’, ‘to’, ‘same’, “shouldn’t”, “should’ve”, “mightn’t”, “it’s”, ‘between’, ‘before’, ‘he’, ‘here’, “hadn’t”, ‘have’, ‘if’, “you’re”, ‘haven’, ‘under’, ‘nor’, ‘t’, ‘can’, ‘re’, ‘it’, ‘y’, ‘where’, ‘then’, ‘she’, ‘own’, ‘hers’, ‘is’, ‘isn’, ‘each’, ‘don’, ‘now’, ‘by’, ‘than’, “hasn’t”, ‘his’, ‘who’, ‘above’, ‘this’, “mustn’t”, ‘their’, “couldn’t”, ‘there’, ‘couldn’, ‘over’, “you’d”, ‘m’, ‘doing’, ‘when’, ‘into’, ‘i’, ‘other’, ‘a’, ‘ours’, ‘because’, ‘we’, ‘an’, ‘weren’, ‘most’, ‘for’, ‘wasn’, “won’t”, ‘up’, “shan’t”, ‘while’, ‘your’, ‘am’, ‘through’, ‘after’, “don’t”, ‘theirs’, ‘ain’, ‘him’, ‘having’, ‘until’, ‘those’, ‘yourself’, ‘off’, ‘just’, ‘below’, ‘didn’, “wouldn’t”, “that’ll”, ‘out’, ‘mightn’, ‘ma’, ‘wouldn’, ‘such’, ‘won’, ‘all’, ‘the’, ‘has’, ‘ourselves’, ‘doesn’, ‘some’, ‘few’, ‘these’, ‘and’, “needn’t”, “doesn’t”, ‘what’, ‘with’, ‘very’, ‘himself’, ‘do’, ‘again’, ‘d’, ‘yours’, ‘are’, “wasn’t”, ‘not’, ‘being’, ‘were’, ‘from’, ‘me’, ‘ve’, ‘why’, ‘itself’, ‘s’, ‘so’, ‘hasn’, ‘her’, “she’s”, ‘you’, “haven’t”, ‘themselves’, ‘its’, ‘at’, ‘yourselves’, ‘about’}

Please write a paragraph as to how these learning outcomes align with your current employment 

Collect, clean, and transform data from a variety of sources into useful data to drive business decisions

Communicate insights effectively using data visualization and reporting tools appropriate for diverse audiences

Design and query databases to organize large amounts of data

Execute real-time analytics using stored and live datasets to quickly respond to customer needs Interpret data using a variety of statistical tools

5 pagesSummary about what you have learned in this course from your self-directed study on information security on comptia security plus 

Unit 5 Individual Assignment

You have tasked the IT department with developing an incident response plan to address risks to the information system.

Based on your research for Unit 5:

Explain some of the key elements of an incident response plan.

Identify some incidents that should be included in the PCS plan.

Discuss the relationship between this plan and other related planning such as disaster recovery and business continuity.

The requirements for your assignment are:

1-2 page APA paper excluding title and reference pages

Provide at least two references and in-text citations in APA format

College level writing

Write at least 500 words on fractional ownership and it’s relation to cloud computing. Use at least one example from another industry.    

Use at least three sources. Include at least 3 quotes from your sources enclosed in quotation marks and cited in-line by reference to your reference list.  Example: “words you copied” (citation) These quotes should be one full sentence not altered or paraphrased. Cite your sources using APA format. Use the quotes in your paragraphs. Stand alone quotes will not count toward the 3 required quotes.

 The recent advances in information and communication technology (ICT) has promoted the evolution of conventional computer-aided manufacturing industry to smart data-driven manufacturing. Data analytics in massive manufacturing data can extract huge business values while it can also result in research challenges due to the heterogeneous data types, enormous volume and real-time velocity of manufacturing data. For this assignment, you are required to research the benefits as well as the challenges associated with Big Data Analytics for Manufacturing Internet of Things. Your paper should meet these requirements:  

• Be approximately four to six pages in length, not including the required cover page and reference page.
• Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
• Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations, in addition to your textbook. The UC Library is a great place to find resources.
• Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.