What machine learning is ?
As we usually listen this thing that "Mostly the answer of question hidden in the question " , Now what the means of this here ?
To know about this thing just focus on the following things :-
all term like machine learning, data science , artificial intelligence etc . they are the combination of some words if we explore each word and try to combine the means of all then we can reach at the output or the result . So if we explore machine learning first then first we should know about the machine that what is machine ?
So as we know any type of model or thing which operates by any type of energy and do some work easily
like( computer, washing machine, robot etc .)
Now learning , Learning means to study about anything . In term of "Human" to prepare our self for the exam we do learning or to gain knowledge about an interesting field we do learning .
But , What does mean of leaning in term of machine because they don't have mind to thing and also they don't need to worry about the exams ?
So , when any machine like computer or laptop or robots learn to perform a task that is called machine learning.
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| machine leaning |
How machine can be learn ?
To know about this question just read the content be carefully . It is very easy to understand , Here we have the example by which u can easily understood -
Here is very Important thing that "If human is learning anything then what is required (Data) like books, notes etc.
As very similar to that "If we are talking about the machine learning then what is required (Data ), it can be Industrial data , government data , public data etc.
How we can practically see that machine is leaning :-
By using a very simple example i will try to explain u here.
1. When we charge our machine like battery car, battery bike and many more things , when they charge overloaded then they create a sharp voice to tell u that machine is charged .
How it basically works , If u know some coding concept's then u can easily understand about that other than here u can read "It's all like when it charge full then in code it generates a signal and after generating a signal , If the connectivity is still stable then it will create voice (by the code).
2. Suppose , when u use utube and watch any video on that and after few minutes when u refresh the utube page then it recommend u related videos on the basis of your watching history.
So , there is no human is working behind the seen mostly the Bot's work behind the seen .
Type of machine learning :-
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| type of machine learning |
Here are the type of machine learning:-
1.Supervised learning
2.Unsupervised learning
3.Reinforcement learning
Supervised learning :- It is type of learning in which we provide predictable data to our model .
Here the means of model that our program or machine which will work on our data and give's us a required output/result.
Now what is predictable data is that ?
Predictable data is the type of data in which on the basis of some input and output our model can be predict further values/results.
And also we can say that type of data in which dependent variable is available.
like (face detection , home price detection etc) something like when our result is depends on two thing yes or no.
Unsupervised learning:- In unsupervised learning we solve cluster problems . It just differ from the supervised learning.
In unsupervised learning we don't need to the dependent variable in this type of data all variable usually independent.
When we make model over this type of data then we try to break data into some categories called ("class in cluster") .
In which we break data by some similarity in that . If two data points have some same quality then it will come under the one class .
and other data will go into the other class .
Reinforcement learning :- This type of learning is totally depends on the backtracking.
If u don't know about the backtracking then u can click on the link above other then u can read it .Let's, Through an example we try to understand about the backtracking.
Suppose u are going somewhere after travelling some large distance , If that way become closed then what will u do ?
U will ask to any person for any other way to go over there ("where u wanna go").
Suppose u have find a person and asked them for the way and he tell u that go back 1km
and go left . u will follow that path , If again way is closed then again u will go back and choose any other way to go .
Suppose , Now u find a very sort and good way to go over there, where u wanted to go .
Now be care fully , In future when u again go to that place then first u will choose the last way which was the sort and also good.
As similar to that above story "reinforcement learning" based on try and do concept .
In which machine learns from the experiences ("machine stores experiences in form of codes and use them when similar type of situations comes").
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