Now a days you you are often come across these four terms. Many of you might think that these all are mean the same thing. But NO. Though there is a connection between these 4 terms , all of these term carry it's own meaning and significance.
To learn about the connection and relation between AI , ML , DL and DS , let discussed about these topic quickly ...
What is Artificial Intelligence (AI) ?
I already discussed about introductory AI .
please go to this link - AI
What is Machine Learning (ML) ?
Now, come to ML , it is a learning process for the Machine. Through Machine learning techniques ,we can teach machine about how to think , how to identify , how to make decision over a problem and how to give that out-put.
You might fell very complex by hearing these steps . let us see these in a flow chart--
Now ,let us take some real world example for better understanding---
one of the most related example is Google search result. you might see that , whenever you search anything in google , by typing a part of that word or question , google show you the possible word or question you are looking for.and in 90% case Google make it right.
Now how it works??
The answer is very simple-
Whenever we search something on surf any website through google , that every single searching or surfing data is stored in Google's cloud .
Now when you write any word or a letter in search box , google scan all of the data and find the most related keyword or question according to your search history priority.
And this ML technique somehow saves our time , which is the main target of a machine.
What is Deep Learning (DL) ?
Basically DL is a very Advanced ML technique.
In normal ML technique , after provide data , you have to feature those data so that machine can identify that data.
But in DL , there is no need of feature those data . Machine directly make connection with the data and learn about it. It is basically based on Neural Network.( i will make a separate post on Neural Network)
But in DL a huge number of Data is required , where the number is less in ML .
But in DL a huge number of Data is required , where the number is less in ML .
Depending upon your quantity of data , you should choose the technique you want.
let us see the flow chart for DL--
you can see that , now a days google can tell you about a product or place just by it's image . This is the result of Google's Deep learning.
What is Data Science (DS) ?
By the picture , you might understand that what data science deals with..
Now the question is what it does...
the main goal of science is -- 1) find the insight of a data set
2)find the pattern of the data to solve a problem
3)create statistical model to solve problem
CONNECTION OF AI,ML,DL &DS---
BY A SIMPLE DIAGRAM , WE WILL TRY TO UNDERSTAND THE CONNECTION
So , as you can see, though these all are carry different meaning, but there is fair connection between them.
Hope I am able to tell you he very basics of these terms and there connection.
In future , I will also cover these topics in details.
Stay tuned for more .
you can comment your doubt or query.
My facebook profile link- Prattay Chakrabarty
Thank You :)
Impressive content on deep learning ai solutions
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