Artificial Intelligence vs Machine Learning vs Deep Learning vs Data Science

Now days all students who new on this technology they were so confused what is the difference between ARTIFICIAL INTELLEGENCE , MACHINE LEARNING , DEEP LEARNING and DATA SCIENCE.

So here , I discussed about this thing .

Firstly , I am discussing about the artificial intelligence. Main goal of the AI is machine to think and make intelligent. AI is called Machine Intelligent .

Machine Learning is the subset of Artificial Intelligent. Machine learning help us to statistical tool to explore and understand the data. ML used for to learn the machine. In Machine Learning, There are three parts 1. Supervised Machine Learning 2. Unsupervised Machine Learning 3. Reinforcement Machine Learning.

So in this para i discuss subtopics of Machine Learning. 1. Supervised ML : We use this technique where we have some label data or past labelled data means we already have the output of this data. 2. Unsupervised ML : In this we don’t have labelled data . Here we use the clustering problems like KNN and so on so using cluster we choose some output of the data. 3. Reinforcement ML : Reinforcement also called semi supervised ML . Reinforcement Learning is a type of machine learning technique that enables an agent to learn in an interactive environment by trial and error using feedback from its own actions and experiences.

Deep Learning is the subset of Machine Learning. In Deep Learning we create a neural networks architecture. Neural Networks is the mimic of the human brain. In this there are Artificial Neural Networks , Convolution Neural Networks (Mainly Used in Image Processing) and Recurrent Neural Network(Used in time series or we have to remeber past output so we used this) .

Data Structure used in all this techniques. Data Structure is mainly Mathematically part of all this .