Types of Machine Learning

 Types of Machine Learning:

There are three types  in  Machine Learning. 

1.    Supervised Learning
2.    Unsupervised Learning
3.    Reinforcement Learning.

1) Supervised Learning:

In supervised learning, the training data you feed to the algorithm includes the desired solutions, called labels. Here are some of the most important supervised learning algorithms.

• K- Nearest Neighbors
• Linear Regression
• Logistic Regression
• Support Vector Machines (SVMs)
• Naive Bayes
• Decision Trees

2) Unsupervised Learning:

In unsupervised learning, the training data is unlabeled. The system tries to learn without any prior knowledge.

• Anomaly detection
• Clustering

              --- K- Means 
              ---Hierarchical cluster  

3)Reinforcement Learning:

In this the learning system called an agent in this context, can observe the environment and can get rewards in returns or penalties in the form of negative rewards. It must be then learn by itself, what is the best strategy, called a policy, to get the most reward over time.

4) Semi supervised Learning:

Some algorithms can deal with partially labeled training data, that is the training data is the combination of labeled data and unlabeled data. This is called semi supervised learning.

• Google photos is the best example of Semi supervised learning.