Artificial Intelligence

Diagram

Introduction of Artificial Intelligence (AI)

• AI stand for Artificial Intelligence, where intelligence is defined acquisition of knowledge intelligence is defined as a ability to acquire and apply knowledge.

• AI is just the sector that focuses on building algorithms. 

• Artificial Intelligence is a technology which enables to simulate human behavior.

• The goal of AI is to make a smart computer system like humans o solve complex problems.

• Machine learning and deep learning are the two main subsets of AI.

• AI has very wide range of scopes.

• AI is decision making.

• AI will go for finding the optimal solution.

Introduction of Machine Learning (ML)

• ML stands for Machine Learning which is defined as the acquisition of knowledge or skill.

• ML allows system to learn new things from data.

• ML will go for online solution for that whether it is optimal or not.

• The goal of ML is to allow machine to learn from data so that they can give accurate output.

• Deep learning is the main subset of ML.

• ML has a limited scope.

• Machine Learning may be a branch of AI that focuses on actually teaching an algorithm. 

Introduction of Deep Learning (DL)

• Deep learning is a technique that mimics the human brain. The human brain will be learning from the basics from the environment with the help of our brain.

• Deep learning is a man-made intelligence that's the power to process knowledge or information to tell future decisions. 

• Deep learning may be a branch of machine learning.

• Deep learning can automatically extract the useful value of data necessary to tell those output predictions or make a choice.

• Deep learning essentially means training an Artificial Neural Network(ANN) with a huge amount of data.

• In deep learning the network learns by itself and thus requires humongous data for learning.