hey everyone, welcome to the session
buy Intellipaat artificial intelligence
and machine learning have been the key
buzzwords for this decade a lot of
surveys conducted and analytics proof to
say that artificial intelligence and
machine learning related jobs will be
the top contenders for the next decade
as well and in this session we are going
to compare artificial intelligence
head-on with machine learning as well
and guys before we begin with the
session make sure to subscribe to the
Intellipaat YouTube channel and hit
that Bell icon so that you will never
miss an update from us here's the agenda
for today we'll start off by checking
out a quick introduction to artificial
intelligence and where artificial
intelligence is used and after this we
can check out what machine learning is
how it is related to artificial
intelligence and again where machine
learning is used as well and after this
we're gonna have an in-depth comparison
with a lot of factors with respect to
artificial intelligence and machine
learning juxtaposed at the same time so
guys if you have any queries make sure
to head on to the comments section and
let us know and we'll be happy to help
you out there and guys if you're
interested in an end-to-end course
certification in data science Intellipaat
provides the data science
architects master's program where you
can learn a lot of concepts thoroughly
and earn a certificate in the same as
well so without further ado let's begin
the class coming to the first point on
the agenda it is introduction to
artificial intelligence
well the question you might have at this
point of time is what is artificial
intelligence we have heard about it so
much in the last decade itself right
well it's actually a fairly old concept
which is being brought into power and
shine today because of all the computing
power the world has to offer well what
is artificial intelligence it is very
simple it is the theory and the
development of computer system basically
helping it to perform tasks which
actually require some sort of human
intelligence you might wonder what sort
of tasks actually require human
intelligence well the first thing
artificial intelligence is very good at
doing is image recognition because image
recognition is again very useful when it
comes to social media or even now a
couple of traffic cameras when it comes
to violations and much much more then
coming to speech recognition in the
field of speech recognition again you
can have various or safety and security
locks which are just answered to one
person's voice then you have voice
assistants who pop up for this
particular speech and much much more and
next coming to decision-making
decision-making as you might know it you
know will require some sort of cognition
it will require some sort of human
intelligence but then the artificial
intelligence of these days are trying to
achieve very good level of cognition to
pretty much level up with humans and
then again coming to translations again
like considering a language translation
image translation or whatever it is it
would require some sort of intelligence
here as well but then the machines have
got good enough such that they can do it
without having any human interference
there as well
so where are we with the artificial
intelligence of today well it has been
so subtly integrated into our lives we
don't even notice it is there anymore
well why do we say this well the first
thing that pops into my head is because
think about all the advertisements you
get recommended when you go on to an
e-commerce site think about every time
you say hey Siri or ah hey Google hey
Cortana whatever it is and you have a
voice assistant already there to answer
for all your needs and pretty much you
know set your calendar will tell you the
weather booked tickets for your answers
call for you now and much much more
so this is where we are with artificial
intelligence today we have self-driving
cars and so much more then you might
have heard of this particular term which
is artificial intelligence is the best
carrier path of this Decade and yes this
decade it's 2020 and ten years from now
it has been proven by various trends in
surveys where artificial intelligence
will be the best carrier path and then
pretty much you can also be assured that
artificial intelligence has the biggest
community ever because in the last
decade it it had the most trending paths
it had the most IT boom is what we would
say and then millions and millions of
people millions of learners came
together and then pretty much there is
an amazing community around this
particular technological term which is
artificial intelligence now coming to
artificial intelligence in this
particular world has already told you
the number one thing is Chatbots so
every time you open up your Google
assistant talk to Cortana talk to Bixby Alexa Siri and much much more I
mean there are many other chat BOTS out
there make sure to know that there is
natural line
which processing there there is
artificial intelligence working there
and sometimes again ruinous when it
comes to points like these we never know
that it is actually there that's how
good artificial intelligence has become
and the next most important application
of artificial intelligence is when it
comes to finance because think about
this if you're a stock trader then again
people might know that stock trading
will require huge amounts of experience
a lot of skill and whatnot but then if
you had a machine if you had you know
artificial intelligence working for you
machine learning models working for you
which can give you a better insight a
better look at what the future would
look like then the chances of you
actually having this as a lucrative
carrier might increase and this is
already being put together there's a lot
of people around the world who are
actually making use of a good couple of
models for their trading and whatnot I
mean you can do a lot of pattern
recognition of how your stock is
performing you can perform prediction
activities and much much more
just a quick info guys in case you guys
are planning to have an end-to-end
course certification in data science intellipaat provides the data science
architect master's program where you can
learn all of these concepts thoroughly
and earn a certificate in the same as
well the link is in the description box
to make sure to check it out and on that
note let's get back to the session and
then coming to healthcare again
healthcare the most important thing that
happened in the year 2019 was the use of
artificial intelligence to track breast
cancer prematurely and about 53% of the
time you know the chances are that it
the artificial intelligence model
actually are diagnosed the people right
and this was one year before they would
actually get an official diagnosis so
this is something amazing and artificial
intelligence again if you buy the latest
fitness tracker watches and whatnot
they're all tracking your health daily
you know there are watches which can
track your ECG or they can track your
blood oxygen saturation and much much
more and at the end of it they are
promoting welfare they are promoting
good health good cause for the world in
the field of health care by using
artificial intelligence so when you
think about how all of these works here
is a very simple diagram to look at the
first two steps are where the word of
big data comes in we have covered big
data and its entirety
in another video so make sure to check
it out at the end of this particular
video so coming to all the first two
steps it is actually data generation and
data storage so we're gonna find all the
data in the world this is what Big Data
solution does actually so you know we
find all the data in the world then we
pretty much store it for further
processing and the processing part is
where artificial intelligence comes in
you can use a lot of machine learning
techniques there are concepts even more
deeper such as you know deep learning in
fact where we can perform very good
amount of data processing in a very
rapid way very efficient way where the
data can be transformed from the raw
unruly entity it has to very good
information and this information later
again with the help of artificial
intelligence is converted into
actionable insight you can get very good
visualizations out of it predict trends
perform data analytics and much much
more so quickly coming to the
introduction of machine learning again
what is machine learning well a machine
learning is a very simple application of
artificial intelligence or you could say
machine learning is one of the ways to
achieve artificial intelligence so again
this basically provides our machines the
way that they can automatically learn
automatically improve and go about
without actually being programmed every
step of the way so machine learning
today is pretty much a lot of
mathematics statistics and algorithms on
steroids basically but then the future
goal of machine learning is again to
achieve artificial intelligence to
achieve human-level cognition or if not
better we call it artificial
superintelligence but then yeah however
at this point of time machine learning
models are for its particular day a very
efficient very good at what it does so
here are some of the machine learning
applications that we actually see around
us you know everything from voice
recognition and in social media as well
you know Twitter or tweet prediction you
have Vimeo as algorithms YouTube's
algorithms in fact are working right now
where you're being you know you search
for a very good keyword in or a concept
that you actually want to learn on
YouTube and Intellipaat videos come up
so how does YouTube know that it has to
show you Intellipaat videos I mean
there are many factors the content will
be good you know lot of all learners
actually go into the comments and leave
us very good comments basically you guys
enjoying the content we
and how good the content is and many
many other factors guys oh this
basically will comprise of that then you
have Skype as well even Instagram what
post it has to show you what the
advertisement that it wants to show you
Facebook again image recognition
newsfeed or filtering and much more as
well coming to video surveillance again
automated traffic violation detection
and you can have automated you know or
tracking let's say if you have a CCTV
network at your house and you don't want
to check it every now and then but then
you want to be notified if there is some
unauthorized activity pretty much that
can be programmed to do that as well
and we all use emails right so when it
comes to malware detection spam
detection how does a provider like Gmail
or yahoo mail or rid of mail or anyone
else how do they know what mail is spam
what mail is a malware and what mail is
your regular mail that you should see
and what's important and what not here
as well machine learning algorithms are
working at full swing and then coming to
future predictions future analytics and
much more machine learning actually
works in today's world to the max and in
fact there are many more applications
other than what I have mentioned your as
well but mostly it's used to predictions
mostly used for surveillance voice
recognition image recognition and much
much more
so here are some of the key moments in
the life of machine learning in today's
world in 2012 people at Google came up
with Google brain and this sort of
established the open-source world of
machine learning to the world and people
started realizing Google brain is an
amazing product through which they can
develop into algorithms they can work
with machine learning and then after
Google brain came deep face deep faces
by the people at Facebook and this was
basically their deep learning solution
for face recognition so the amazing face
recognition face detection algorithms we
see when we tag friends on Facebook
where Facebook automatically tags people
for us that's deep face working for you
just a quick info guys in case you guys
are planning to have an end-to-end
course certification in data science
Intellipaat provides the data science
architect master's program where you can
learn all of these concepts thoroughly
and earn a certificate in the same as
well the link is in the description box
so make sure to check it out and on that
note let's get back to the session and
then coming to oh you know google
deepmind again deep mind is another huge
amazingly well put art project by
the people at Google where they
developed complex machines which could
play very good games against humans and
win against them as well and open AI in
2015 was the brainchild of Elon Musk the
very famous entrepreneur and again this
brought about many changes to the world
of AI as we know it as well and then
coming to alphago alphago was another
project off google deepmind basically
when there was a machine learning model
put into place and one of the most
sophisticated models because it could
beat the world champion the multiple
times world champion at this game called
go which is considered to be the
toughest board game ever made and then
this machine could beat that particular
person and in fact the person who
actually lost to the machine decided to
retire because he believed that he was
not the best in the world anymore
because there was a machine beating him
a turd and then coming to the comparison
between artificial intelligence and
machine learning let's break it down
into a couple of simple points the first
thing has to be definition we've already
looked at this so let's quickly glance
over it again well basically in the
world of artificial intelligence the
intelligence part of it is actually
defined how then we talk about you know
the machines gaining knowledge and you
know the ability to actually learn
something and pretty much apply what it
has learnt this particular stored
knowledge that is where the word
intelligence comes in coming to machine
learning again machine learning
basically involves the process very
similar to artificial intelligence where
it's acquiring information but then it's
doing it in a very different way to
something called repeated learning you
know where it actually learns on one
particular concept again and again again
to master it and then understand what
the concept actually is then coming to
the second point which is the
technological aim of artificial
intelligence and machine learning again
when it comes to AI are pretty much AI
is concerned about you know increasing
chances of success in actually mimicking
human intelligence so it at couple of
stages artificial intelligence is not
concerned with how accurate it is but
it's a very different story when you
come to machine learning because when it
comes to machine learning machine
learning strives to increase the
accuracy and you know it would actually
sideline the amount of success that it
sees because achieving accuracy in the
mathematical model in terms of machine
learning is actually a very good
priority and it does actually build for
what it's supposed to do and it does it
very well coming to the
pointed basically the goal of artificial
intelligence and machine learning when
we talk about the goal of AI it is to
again as I've already told you to
simulate natural intelligence to prove
to humans that machines can be as good
as humans and this is done by solving
complex problems and whatnot coming to
machine learning again machine learning
the primary goal of machine learning is
to actually learn from the data that it
actually sees understand what the data
is then perform certain tasks using the
data you know since it does it
repetitively it understands it better
and better every time it does it and
this increases the performance of that
particular machine and then the fourth
point is how simpleton it actually is
well artificial intelligence put in very
simple terms is basically that it has
decision-making on steroids because to a
computer what feels like a very complex
convoluted entity it is actually a very
simple dumped machine which has been
coded by the human kind right so
artificial superintelligence claims to
you know if it has ever been founded or
if a machine chooses to you know start
coding and other machine the
decision-making skills of an artificial
intelligence entity will be equal to
that of human intelligence or better
than that as well coming to machine
learning again machine learning
basically allows a system or a computer
to you know learn things from the data
it sees doesn't repetative lee as you
already know it and coming to
decision-making decision-making you know
again as we already talked about it
artificial intelligence is actually
concerned with finding the optimal
illusion to an existing problem but
machine learning is used to see if the
problem is actually pretty much you know
optimal to work on or not so it'll
actually try to see if the solution
whatever it's obtained is actually
optimal it's not optimal it'll work it
will not work and much more so here's a
very subtle difference that you can see
on your screen right now when it comes
to artificial intelligence and machine
learning and then number six on this
list is the outcome so artificial
intelligence again you know leads to
developing system which basically will
mimic human activities in certain
circumstances but then at this point of
time it can mimic everything apart from
emotions and much more in fact it can
detect emotions that is how good it is
but for it to mimic human level emotion
is impossible at this point of time but
then let's not say it's impossible in
the future
as well because we do not know what the
future holds and then coming to machine
learning machine learning involves this
entire procedure where you will be
creating algorithms which learn on their
own and here's the best part about the
comparison machine learning will help
achieve artificial intelligence at the
end of the day so we and the outcome of
artificial intelligence is to equal
human intelligence guys so this brings
us to the seventh point again which is a
very important point for all of you guys
as learners because here's the average
developer salary of an artificial
intelligence developer and the machine
learning engineer and AI developer gets
somewhere over 120 thousand USD per year
and then an average salary for machine
learning engineer is over a hundred
thousand dollars per year as well well
this number is an average number for an
associate to junior or a middle
intermediate level or programmer but do
know that there are companies out there
in the world which which will actually
pay three times four times the number
you see on your screens right now
throughout the world so they don't mind
where you are they don't mind what
amount they're paying out if you're
actually good with the skills and you
have the right certification when it
comes to especially artificial
intelligence machine learning and
concepts of data science guys and then
coming to my final thoughts about this
particular comparison well if it has to
be put into one sentence then no this
artificial intelligence will lead to
intelligence at the end of the day or
you know some sort of wisdom but if
you're talking about machine learning
machine learning again it's all about
acquiring knowledge acquiring knowledge
and this knowledge again is put into
touch put into use when we talk about
artificial intelligence in general so to
summarize the entire thing guys
artificial intelligence will actually
use all of the experience to acquire
knowledge to acquire skills to learn it
and understand how how it has to apply
all that knowledge and machine learning
will basically you know use all the
experience attached from learning again
and again again again to basically you
know look for some pattern and
understand what's going on there to
amplify the amount of knowledge it has
gained to see where you know it's like
picking a needle in a haystack so
machine learning is where you know it's
the process of picking the needle in the
haystack why are we talking about
artificial intelligence it finds the
fastest way it finds the most important
way where a human is not required to
pick out that needle from the haste
so coming to when you have to use
artificial intelligence when to use
machine learning here is when you'd be
using artificial intelligence you know
artificial intelligence is required in
situations where there is a requirement
of precision where there is a higher
degree of precision is a very important
requirement and then you will use AI
when you have faster decision making
logical decision handling which does not
require any human interference guys
because at the end of the day you know
emotions do come into place at a place
of work which might affect at the end of
the day the work that the person is
doing but then if a machine does this
again it cannot understand emotions so
your work will again remain very
efficient because of the fact that it
cannot have any emotional interference
and then coming to handling repetative
tasks humans might get bored of doing
the same thing again and again but the
machine does not and then the next point
is the reason why AI replaced a lot of
jobs in the last year it is that it can
work 24/7 365 days of the earth without
taking any single break unless as you
know of course a break down in whatever
it's doing but then without a break
because humans again are very very
limited when it comes to working when
you directly compare it to a machine
because machines can go years and years
without a single break but a human
cannot obviously right and then coming
to risk analysis and risk taking you
know the machines can actually take a
very good calculated decision based on
so many things so much mathematics so
much programming and much much more
coming to machine learning machine
learning is actually used where it can
see the data on and see a trend or a
pattern that it can find and another
important reason is that you know
whether there should be no human
intervention here as well the basic idea
is to make the model self sufficient
enough so that it can understand the
patterns and trends and then you know if
there is a requirement for machine
learning then there will definitely be
some sort of requirement for continuous
improvements continuous learning and
hunting for more knowledge so this
brings us to the point which says that
you know improvement needed is actually
linear it does not have to be you know
learn weight learn weight forget and
know it has to be learn learn learn and
keep going like that that's what the
point basically means and then coming to
the next point it does not require any
human intervention when it comes to
adaptation as well so you know humans
take a lot of time to adapt so let's say
to a new climate to a new technology
they're learning on everything in
generalize you
need some time to go about doing that
machines well if there is a requirement
where you know you have to change
certain programming language to
something else and nowadays there are
tools which can do it automatically for
you as well and then you know industrial
requirement are there guys
so basically what we're trying to do is
we're trying to perform predictive
analytics in the world of manufacturing
as well like what product is is doing
good in what part of the world why is
this car selling so much much much more
so you have your machines which can tell
you all of this you don't need any more
humans to look at the numbers plot
graphs and you know go about taking a
judgment call which might be a little
inaccurate at the same time as well so
this brings us to the last section of
this particular comparison what
companies use artificial intelligence
and what companies use machine learning
here's the list for artificial
intelligence guys everywhere at Walmart
labs you have KPMG we have Microsoft
Genpact Ericsson Accenture and millions
of other companies guys so everyone in
the top fortune 500 company makes use of
artificial intelligence in one or the
other way and then coming to machine
learning there's a lot of companies here
again there are thousands and thousands
of companies which goes on to making use
of machine learning all daily basis we
have everyone from NetApp we have
General Electric we have Google Amazon
you can think about a lot guys Twitter
Facebook again Apple cap Germany IBM and
there are so many companies I cannot fit
all these guys in one particular slide
or in fact a couple of slides as well so
what do you guys think about this
comparison to head to the comment
section and do let me know
just a quick info guys in case you guys
are planning to have an end-to-end
course certification in data science
Intellipaat provides the data science
architect master's program where you can
learn all of these concepts thoroughly
and earn a certificate in the same as
well the link is in the description box
so make sure to check it out hope you
guys enjoyed this video and got to learn
a lot from the same as well if you have
any queries or if you have any more
points you want to add to this versus
video make sure to head down to the
comments section and do it now we'll be
happy to help you there and reply at the
earliest and that not have a nice day
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