What is Machine Learning? Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly. Rote Learning: Rote Learning is basically memorisation. Saving knowledge so it can be used again. Retrieval is the only problem. No repeated computation, inference or query is necessary. A simple example of rote learning is caching Store computed values (or large piece of data) Recall this information when required by computation. Significant time savings can be achieved. Many AI programs (as well as more general ones) have used caching very effectively. Learning by induction: This involves the process of learning by example -- where a system tries to induce a general rule from a set of observed instances. This involves classification -- assigning, to a particular input, the name of a class to which it belongs. Classification is important to many problem solving tasks. A learning system has to be capable of evolving its own class descriptions: Initial class definitions may not be adequate. The world may not be well understood or rapidly changing. The task of constructing class definitions is called induction or concept learning
Thanks buddy for your full course videos and notes....keep doing well.
i am nit student and it helped me thanks.
Thank you so much sir
thanks ...good explanation
Thank you so much sir...😊
Thanks sir but learning ke full notes v description ne pa dyia kro with types of learning plz sir
Nice
Ty sir.... Plz make the full vedio on types of learning plz sir...
Excellent
thanx a lot😊
Thanku sir
Can you provide the slides you use?
It will be a great help for me. Please!!!
Actually I have deleted this ppt. 😔
Bhai aapke video nepal se bhi dekhte hain so exam main aaya hain yaa o nahi dekho bas topic heto video banadena hamara kaam aayega.
Sir kya artificial intelligence koi bhi sekh skta hai
kahahai description plz btae
What is Machine Learning?
Machine learning is an application of artificial intelligence (AI) that provides systems
the ability to automatically learn and improve from experience without being explicitly
programmed. Machine learning focuses on the development of computer
programs that can access data and use it learn for themselves.
The process of learning begins with observations or data, such as examples, direct
experience, or instruction, in order to look for patterns in data and make better
decisions in the future based on the examples that we provide. The primary aim is
to allow the computers learn automatically without human intervention or
assistance and adjust actions accordingly.
Rote Learning:
Rote Learning is basically memorisation.
Saving knowledge so it can be used again.
Retrieval is the only problem.
No repeated computation, inference or query is necessary.
A simple example of rote learning is caching
Store computed values (or large piece of data)
Recall this information when required by computation.
Significant time savings can be achieved.
Many AI programs (as well as more general ones) have used caching very effectively.
Learning by induction:
This involves the process of learning by example -- where a system tries to induce a general
rule from a set of observed instances.
This involves classification -- assigning, to a particular input, the name of a class to which it
belongs. Classification is important to many problem solving tasks.
A learning system has to be capable of evolving its own class descriptions:
Initial class definitions may not be adequate.
The world may not be well understood or rapidly changing.
The task of constructing class definitions is called induction or concept learning
@@ExamAasaanHai can i write machine learning defination an define learning .
I am from nepal and love your video.
Yeah
description me kaha I notes
notes nihai sir
Description me hai notes