Questions
Data Science tries to answer one of the following questions:
- Classification -> “Is it A or B?”
- Clustering -> “Are there groups which belong together?”
- Regression -> “How will it develop in the future?”
- Association -> “What is happening very often together?”
There are two ways to tackle these problem domains with machine learning:
- Supervised Learning
- Unsupervised Learning
Supervised Learning
You have training and test data with labels. Labels tell You to which e.g. class a certain data item belongs. Image you have images of pets and the labels are the name of the pets.
Unsupervised Learning
Your data doesn’t have labels. Your algorithm e.g. k-means clustering need to figure out a structure given only the data
