Types of Machine learning Problems
Machine learning Problems can be classified as:
1.Supervised Machine learning
2.Unsupervised Machine learning
3.Reinforcement Learning.
Based on this,lets dive deep into each of them.
Supervised
In simple terms this is a type of machine learning where ml models learns from labelled data. There are two types of supervised machine learning.namely: Regression problems and Classification problems.we shall look more into this in our next post.stay tuned.
Unsupervised
This is a type of machine learning which learns from unlabeled data i.e no target variable. Examples are clustering algorithms.
Reinforcement Learning
This is where the agent learns from the environment.An example is a Robot,Self driving cars like TESLA among others.
Cheers happy learning everyone!!Keep checking for more interesting and Educative posts 😊🥳.
Top comments (0)