Analyze and explain Data Mining and Algorithms
Assignment 1Directions: Review Application Case 4.6 “Data Mining Goes to Hollywood: Predicting Financial Success of Movies” on pages 233 – 236 in your textbook. Conduct a thorough case analysis addressing the questions for discussion.
Important information:
- Answers should be thorough and complete.
- Refer to the assignment rubric located in the syllabus for grading criteria.
- Provide definitions of all course terms related to your response.
- Although the questions ask “What do you think…” answers should be based on course-related knowledge/research and not on opinions and experience. Evidence is necessary to inform decisions. You will be graded on how well you integrate course concepts, theories, and research into your analysis.
- Responses should point to specific case language to support your assertations.
This is the book, go to page 233-236 for this assignment 1
Page 239-241 for assignment 2
Book for both assignment =https://studylib.net/doc/25525690/businessanalytics
Assignment 2
Directions:
- Access the Ted Talk titled “How I’m Fighting Bias in Algorithms”and the topic “Data Mining Myths and Blunders” on pages 239 – 241 in your textbook.
- Share at least three points from the video with the class that left an impression on you.
- Discuss how predictive analytics can avoid some of the related myths and blunders discussed in the Talk.
