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 3?
• 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.)