Discussion of Lectures 1 and 2
Xijia Liu
Department of Statistics, Umeå University
Lecture 1: Introduction to Machine Learning
- Machine Learning and its Philosophy
- Do you have any ideas about applying machine learning methods?
- Supervised Learning V.S. Unsupervised Learning
- In a basic statistics course, what you have done that is essentially unsupervised learning?
- According to your previous knowledge, which part you are familiar with in the Machine learning process? Which part are you not familiar with?
- Do you have any questions? (Sia may have to control the time)
Lecture 2: Introduction to R Programming
- Have you learned any other programming language? Is its syntax similar to R?
- Matrix(Array) V.S. Data frame V.S. List
- In fact, the dimension of an array is not limited to 2.
- What data may have a dimension higher than 2?
- Do you have any questions? (Sia may have to control the time)
Thanks for discussion!
- Let’s start the lab session today!
- 3 students in one breakout room.
- After creating the rooms, you have 1 minutes to jumping in a room with your friends.
- Then, I will randomly assign you into different groups.
- Question queue: Link to the online queue table (The link also can be found in Canvas course home page.)
Discussion of Lectures 1 and 2 Xijia Liu Department of Statistics, Umeå University