AI- Family

 

Artificial Intelligence:--

Artificial intelligence covers a range of techniques that appear as sentiment behavior by the computer. For example, AI is used to recognize faces in photographs, beat the world champion in chess, and process your speech when you speak to your assistant like SIRI, ALEXA, CORTONA etc..

 

 

AI-Family--

What do you mean by family?!! 

 

 

 Family is all the descendants of a common ancestor. Yes similary we humans has our own family an Artificial Intelligence has it's own. Let's see what are they.

They are Supervised learning, Unsupervised learning, and Reinforcement learning. So lets grab some few knowledge regarding their working and learning.

1. Supervised Learning

Supervised learning is a method in which we train an AI-model through Labelled data called as training data. Some of the algorithms that helps in learning or building an Supervised model are KNN(k-nearest neighbors, linear regression, linear classification etc.) 

Supervised learning model includes problem like classification and regression.

 

2. UnSupervised Learning

UnSupervised learning is a method in which we train an AI-model through UnLabelled data computer uses its own vision to predict outputs. Some of the algorithms that helps in learning or building an UnSupervised model are K-means, C-means, Apriori.

UnSupervised learning model includes problem like Association and clustering.

 

3. Reinforcement Learning

In Reinforcement Learning an agent interacts with its environment by producing some actions and errors of rewards.

Reinforcement learning includes those types of problems which contain decision making structures like playing an puzzle, Maze solving etc.