Artificial Intelligence VS Machine Learning By Syed Anas Ahmed

 Transcript

Hey guys welcome to the session by Intellipaat.

Now you guys must have come across the terms artificial intelligence, machine

learning and deep learning and numerous questions would have popped into your

head, what exactly are they how they are different from each other and what

purpose do they serve. So today's session would help you to understand the

difference between these three terms so I'll start off by asking you a very

simple question, so tell me what is it that makes humans intelligent, well we as

humans can think learn and make decisions and that is what what makes us

intelligent. Now imagine if machines can show human-like intelligence, a machine

which can think and make decisions like humans, that is truly amazing isn't it? So

artificial intelligence is basically that field of computer science which

emphasizes on the creation of intelligent machines which can work and

react like humans. So now that we know what artificial intelligence is, let's see

where do machine learning and deep learning fit in. So you can consider

artificial intelligence to be the broader umbrella and machine learning

and deep learning to be a subset of it or you can also say that machine

learning and deep learning are a means to achieve artificial intelligence. Now

let's see what machine learning is. So machine learning is basically the subset

of artificial intelligence where we teach a machine how to make decisions

with the help of input data so we'll understand machine learning with this

little example. So what do you see over here, what is this exactly? well it's a bird

and what about this, this again is a bird and this? well this too is a bird. Now how

do you all of these are birds? Well as a kid you might have come across a picture

of a bird and you would have been told by your kindergarten teacher or your

parents that this is a bird and your brain learned that anything which looks

like that is a bird and that is how our brain functions. But what about a machine

now if I take in this image of the bird and feed it to a machine will it be able

to identify it as a bird? So this is where machine learning comes in so what

I'll do is I'll take all of these images of the birds and keep on feeding them to

the machine until it learns all the features associated with it and

once it learns all the features associated with it

I'll give it new data to determine how well it has learnt or in other words

first I'll feed in training data to the machine so that it can extract or learn

all the features associated with the training data and once the learning is

done I'll give it new data or the test data to determine how well the learning

is done and this is the underlying concept of machine learning. Now let's

head on to deep learning, so deep learning is the subset of machine

learning where we develop intelligent algorithms which mimic human brain. So

now the question which arises over here is how do we mimic human brain? Well to

answer that let me ask another question. So what is the brain composed of? Well a

brain is primarily composed of neurons Isn't it and these neurons send and

receive electrochemical signals so we have a neuron over here and the

electrochemical signals are received through the dendrite, the processing of

these signals is done in the cell body and the output of these input signals is

sent to other neurons to the axon and if our task is to mimic human brain all we

have to do is create artificial neurons and these artificial neurons work the

same way as biological neurons. So to implement deep learning

we'll have to create artificial neural networks and these artificial neural

networks comprise of an input layer, a hidden layer and an output layer so all

of the inputs are received through the input layer and the processing is done

in the hidden layer and the final output is received through the output layer and

to sum it up artificial intelligence is the broader umbrella, machine learning is

the sub set of artificial intelligence and deep learning is the sub set of

machine learning and machine learning and deep learning are basically methods

to achieve artificial intelligence.