Learning Goal: I’m working on a computer science question and need an explanatio

Learning Goal: I’m working on a computer science question and need an explanation to help me learn.Week3:Read: ch. 2 in textbook: Data and Classification: Basic Concepts
Chapter 2: What is an attribute and note the importance?
What are the different types of attributes?
What is the difference between discrete and continuous data?
Why is data quality important?
What occurs in data preprocessing?
In section 2.4, review the measures of similarity and dissimilarity, select one topic and note the key factors.
In an APA7 formatted answer all questions above. There should be headings to each of the questions above as well. Ensure there are at least two-peer reviewed sources to support your work. Should return Main Discussion Content in 15hrs.
once I receive the main discussion content then I will post the peer discussion in chat
peer response should be returned in next 10hrs.
Week4: Read: ch 3 in textbook: Alternative Techniques
Capri, H. (2016). Data mining : principles, applications and emerging challenges . Nova Publishers. Chapter 1.
Discussion: After completing the reading this week answer the following questions: Chapter 3: Note the basic concepts in data classification.
Discuss the general framework for classification.
What is a decision tree and decision tree modifier? Note the importance.
What is a hyper-parameter?
Note the pitfalls of model selection and evaluation.
In an APA7 formatted answer all questions above. There should be headings to each of the questions above as well. Ensure there are at least two-peer reviewed sources to support your work. Should return Main Discussion Content in 15hrs.
once I receive the main discussion content then I will post the peer discussion in chat
peer response should be returned in next 10hrs.
Week 4 Essay work In an essay format answer the following questions: In essay format answer the following questions: After reading the chapter by Capri (2015) on manual data collection. Answer the following questions: What were the traditional methods of data collection in the transit system?
Why are the traditional methods insufficient in satisfying the requirement of data collection?
Give a synopsis of the case study and your thoughts regarding the requirements of the optimization and performance measurement requirements and the impact to expensive and labor-intensive nature.
In an APA7 formatted essay answer all questions above. There should be headings to each of the questions above as well. Ensure there are at least two-peer reviewed sources to support your work. The paper should be at least two pages of content (this does not include the cover page or reference page)
Requirements: 4pages

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