Machine Learning - Concepts and Dimensions of Machine Learning

In this video, we are discussing concepts and dimensions of machine learning

So, learning is equal to improve task T with respect to performance measure P and based on the

experience E. So, that is very important. So, we know that in case of machine learning, we are applying artificial intelligence

to the computer so that the computer can learn from the data

So, obviously, we should know that what is learning? So, learning is equal to improve task T with respect to performance measure P and based

on the experience E. So, as an example, if you go for the spam filtering

So, here T is the respective task. So identify spam emails. Next one is the P

So, P is actually, we'll be denoting the performance measure. So, percentage of spam emails filtered correctly and percentage of non-spam emails that were filtered

incorrectly, that is a false positive. So, that will decide the respective percentage

That means a percentage of spam emails filtered correctly and percentage of non-spam emails that

were filtered incorrectly, that is a false positive, will be denoting the perfect

measure for this case study And E what is the E is our experience So database of email labeled manually by users

So let us go for another one. A checkers learning problem. So task is T, playing checkers

and the performance measure P will be percentage of games own against the opponent

and training experience E will be the playing practice games against itself. So, this is another example we have considered here. We can specify many learning

problems in this fashion, such as learning to recognize handwritten words and learning to

drive a robotic automobile autonomously. So, these are the different examples. Here we

have considered two of them, but such, so many examples we can give right now. So, that

is a learning is equal to improve task t with respect to performance measure p and based

on the experience e you should remember this very particular line and statement another

example is that that is our signature matching so t that is a task is our determined if

signature belongs to correct person so that is a task so performance measure so that

is p percentage of signatures that were correctly matched and percentage of valid signatures that

were incorrectly labeled as not matching Next one is the E stands for the experience and database of signatures known to be of that person So this is the signature matching

There is another example of this machine learning. So now we shall discuss what is dimension of learning and what are five dimensions of learning

So dimensions of learning is nothing but one comprehensive model that uses what researchers

and theorists know about the learning to define the learning. learning process and there are five types of thinking what we call the five dimensions of

learning and are essential for a successful learning so let us go for the dimension number

one that is attitudes and perceptions so attitudes and perceptions affect students

abilities to learn for example if we can find that if students view the classroom as

unsafe and disorderly place then obviously the student will be, will not be liking to use that place for their learning process. So, they will learn

little there. So, that is known as the attitudes and the perceptions. Let us go for the

dimension number two. So, acquired and integrate knowledge. So, when students are learning

new information, they must be guided in relating the new knowledge to what they already

know and organizing that information and then making it a part of their long memory So whenever a student will be learning then that learning should get integrated to their previous knowledge so that the learning will be having a long

memory in their respective brain. So, we are having this one, that is our dimension number

three. So, extend and refined knowledge. So learning does not stop with acquiring and integrating

knowledge. So, learning cannot stop. It will go on acquiring and it will go on integrating

the knowledge which will be coming next. So learners develop in depth understanding through

the process of extending and refining their knowledge. Next one, we are going for the dimension

number four. So use knowledge meaningfully. So the most effective learning occurs when we use the

knowledge to perform some meaningful tasks. We might be having different knowledge

but which knowledge has to be applied to one task for the meaningful way that is a great skill

So, for example, we might initially learn about the tennis records by talking to a friend

or reading a magazine article about them. Next one, we are having the dimension number five

That is the last dimension. There is a habits of mind. The most effective learners have developed powerful habits of mind that enable them to think critically

and think creatively and regulate their behavior. So, in this way, we have defined what are the different dimensions of learning, and there

are five different dimensions we have discussed each one of them one by one

Thanks for watching this video