INTRODUCTION TO MACHINE LEARNING

Artificial intelligence vs machine learning vs Neural Network's

1. Artificial intelligence:-

The effort's to automate intellectual task normally performed by human's

  Can computer's think.......?

A.I is predefined set of rule's

E.x:-

tic tac toe is a great example of the Artificial intelligence  in which we already precise the move of the computer according to our next move they have already set of defined rules Very good A.I have tones of different Rule,s

Evolution of A.I......?

 2. Machine learning:-

Machine learning figure out the rules for us it take the data and output and figure out the rules for us.

Example:-

When we play the game of chess with the computer as an opponent. When they do check&mate

They itself do it according to our provided data that how all the pieces move and out device itself figure out how to Win the game. it is easiest example of machine learning....!

That,s why our machine learning learning module may  not have 100% of accuracy and we not get the

100% accurate answer every single time our goal is to create a module with 100% of accuracy.

3. Neural network:-

The form of machine learning that use layer representation of data

This are  the Layer's which are present in our neural network. in Neural Network our data is transmitted through different layer. All the layer's contain a different set of rules our first layer is consider as input layer and than it is connect to other layer's and all the layer have own set of example and tonnes of data

that are processed according to the various algorithms and examples.

Data:-

 it is a very  important part of machine learning and neural network and we can also say it is the key of machine learning and neural network

if the input data is incorrect than we get out also incorrect it will create lots of problem in our machine learning model.

For example :-

We take a set of grade of the student to configure out more clearly what it is .....?

in this set of data we have three terms of marks Mid term1, Midterm2, final

taking an example to find out the midterm 2  marks using 1st & final term marks

Feature:- the data we need to provide in a input are called as the feature

label :- The data we get as an output are consider as Label

Data is a key things use to  create a model in A.I and machine learning we need tonnes of data and various set's of algorithm and example's.....!