Sir, Teacher teaches us, we have inputs and outputs both known, examinations are modeled to input question to predict the output, this can be an example of supervised learning ?
to train the data like if u want ur machine to differentiate cat or dog ,you need to give it multiple pictures of both with all the features .that is why the training phase is vry difficult. it is the same case as u make a child learn everything. the child enquires about something and when same thing comes again he is able to predict the actual thing. you don't make him learn all things at a time that is why his output becomes necessary when he sees the thing you've trained him for!!!
After training you can use the ai to perform the task on a large scale Let's say you have a data set of 10,000 pictures of dogs and cats You want to sort them You will train an ai to sort the pictures using 100 pictures Then let the AI sort the rest
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Legends are watching 7 hours before exam 😁
Mine at 1:30 pm today
3 hrs before
Bhai 4 ghante pehle dekh Raha hoo
Fati padi hh bro🙂
1min before
Us bro us 😂
Explained very well
thank you uncle
Thanks sir
Thank you❤
thank you so much for the difference at the end of the video.
Sir, Teacher teaches us, we have inputs and outputs both known, examinations are modeled to input question to predict the output, this can be an example of supervised learning ?
Thank you so much sir
unsupervised ai is used to give us output after it has already been trained and supervised learning to train it first . is this correct?
Is this in data mining
In supervised learning if output is known already then why it is performed?
to train the data like if u want ur machine to differentiate cat or dog ,you need to give it multiple pictures of both with all the features .that is why the training phase is vry difficult.
it is the same case as u make a child learn everything. the child enquires about something and when same thing comes again he is able to predict the actual thing. you don't make him learn all things at a time that is why his output becomes necessary when he sees the thing you've trained him for!!!
After training you can use the ai to perform the task on a large scale
Let's say you have a data set of 10,000 pictures of dogs and cats
You want to sort them
You will train an ai to sort the pictures using 100 pictures
Then let the AI sort the rest
Thanks now it is cleared
❤
Nooo
please speak english
It iss noob😅😅😅😅😮😮😊
thanks sir