Week 1 - Summary

Summary

I finished week 1.

At the end, there is a quiz which you have to get 80% to pass. Pretty tricky and it forces me to do more research and learn about the subject of supervised learning, unsupervised learning, regression problem, classification problem, what is machine learning. Good thing there is no time limit on the quiz ^^

The key difference I can think of between supervised and unsupervised learning is:

• Supervised learning: input and output are the same
• Unsupervised learning: input and output are not the same, usually output are clusters/groups of similar features/attributes

Regression and Classification:

• Regression: output a number from continuous data set (set of inputted numbers)
• Classification: output discrete values

Looking forward to week 2. Math ;)