Passion for CS

Hello Friends,

In this article We are going to learn about different types of Machine Learning. Actually types are in the form of algorithms. So, Lets' start different types of Machine Learning.

• Supervised Learning
• Un-supervised Learning
• Semi supervised Learning
• Reinforcement Learning

These are the types of Machine Learning. Lets' start with some brief.
First of all we are going through,

Supervised Learning: 

• Supervised learning means machine needs to learn under supervision, i.e., there is a teacher to teach machine.
• Supervised learning is an learning algorithm, for labeled data.
• In supervised learning, we have trained data which consists of input object as well as desired output value.

Unsupervised Learning:

• Unsupervised learning means machine learns without teacher, i.e. without any supervision.
• In unsupervised learning there is only input data, there is no output.
• In unsupervised learning there is only input data, and asked to extract knowledge from this data.

Semi supervised Learning:

• Semi supervised learning is a part of supervised learning, and works between supervised and unsupervised learning.
• When we have large amount of unlabeled data, from which this algorithm makes use of those unlabeled data to train small amount of labeled data.

Reinforcement Learning:

•  In reinforcement learning, we have an agent to automatically determine the behavior, in order to improve the performance.
• In reinforcement learning, software agent make decision on the basis of situation, to tackle the situation and also to improve the performance.

These are the types of Machine Learning, and brief introduction of these types.
I will come to you with some new aspect, till then

Enjoy with ML...