At the end of this course, students will be able to:
- Use major machine learning techniques and tools that are covered in the course.
- Apply major techniques confidently based on the type of available data.
- Point out the advantages and disadvantages of various solutions.
- Evaluate and compare existing solutions in terms of efficiency and adequacy.
- Design and implement machine learning solutions to realistic problems.