Homework A: Machine Learning and Statistically Learning
1. What is machine learning? How does it differ from statistically learning? Give an example of each.
2. Are both still relevant and important when making business decisions? Explain your answer.
3. Write your responses in detail with examples. Be sure to identify the source of your example in your posting. Your initial post should be of minimum 250 words.
Homework B: Differences between Supervised, Unsupervised, and Semi-supervised Learning
There are a number of learning scenarios, or types of learning algorithms, that can be used depending on whether a target variable is available and how much labeled data can be used. These approaches include supervised, unsupervised, and semi-supervised learning.
1. Explain the difference between each type of machine learning. Give an example of how each is used.
2. Write your responses in detail with examples. Be sure to identify the source of your example in your posting. Your initial post should be of minimum 250 words
Format your homework according to the give formatting requirements:
1. The answer must be double spaced, typed, using Times New Roman font (size 12), with one-inch margins on all sides.
2. The response also includes a cover page containing the title of the homework, the course title, the student's name, and the date. The cover page is not included in the required page length.
3. Also include a reference page. The references and Citations should follow APA format. The reference page is not included in the required page length.