Machine learning problems/tasks
ML problems or tasks such as classification problems can be categorized into different groups based on how the model learns.
In this section, we will look into two of the most popular categories of ML problems:
- Supervised learning
- Unsupervised learning
First, we will look into supervised learning.
Supervised learning
In this category, the model learns under supervision. By supervision, we mean the model knows whether it is doing well based on the provided label. While training, we provide the model with a dataset containing a set of labels, which are used to correct and improve the model. With this, we can measure how well the model performs.
The following ML problems/tasks belong to this category:
- Classification problems: In this type of problem, the model is made to classify an input to a set of discrete categories, such as classifying whether the image is a dog or a cat.
- Regression problems: This involves...
