Data Mining and Algorithms
Assignment 1
Directions:
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.
Papers should follow APA (6th Edition) conventions.
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.
