00:05hello everyone welcome to day one of our journey into the artificial intelligence
00:09and machine learning I want you to take a deep breath for a second and realize
00:15something important you're not just attending another lecture you are
00:19stepping into a field that is reshaping in the entire world right now not in the
00:24future not in 10 years right now but the end of this session you will look at
00:29your phone directly differently you will look at Instagram YouTube Google Maps
00:36Netflix online shopping even banking apps differently because you will
00:41understand what is happening behind the scene and once you understand that you
00:45can never unsee it so today we are going to build your foundation we are not
00:52jumping into a coding yet we are not opening Python today today is about
00:57understanding because before you build in intelligence you must understand
01:06intelligence let us start with something simple what is intelligence you use this
01:12world all the time we say someone is intelligence we say a student is
01:18intelligent we say a system is intelligent but what does that actually means how do
01:25you learn to walk nobody give you a manual nobody upload software into your brain
01:32you tried you felt you tried again you adjust your balance and slowly your brain
01:38figure it out that is intelligence so intelligence is the ability to learn from
01:45experience adapt to new situation understand patterns and make decisions think
01:50about how you learn to speak did someone teaches you grammar rules first no you
01:57heard some you copied some you made mistakes people corrected you over time your
02:03brain build a language system this is intelligence intelligence is not
02:08memorization it is not just information storage it is the ability to
02:13understand adapt and respond now let us go deeper into human intelligence
02:18intelligence so what is human intelligence human learn from very few examples if I
02:25show a child five pictures of dogs that child can recognize almost any dog for the
02:32rest of their lives five examples now image teaching a machine it might need
02:3910,000 labeled images before it performs the layer reliably human also
02:46understand emotion you can look at someone face and instantly know if you are angry
02:51tired excited or sad even if they say they are fine that ability is emotional and
02:58dangerous machine struggle with this human are creative you can imagine something
03:03that has never existed you can design a product write a story compose music invent a
03:10business idea that is imagination machine generate pattern based on past data but or in
03:16general imagination is deeply human human use common sense if someone say it is
03:23raining cats and dogs you do not look at the sky for animals you understand context
03:29common sense developed through lived experience machine do not live experience they
03:37only have data human are adapted you can enter a new environment and understand
03:42social rules quickly a machine just a machine must be retrained for few scenarios now let us talk
03:51about machine intelligence what is machine intelligence machine process billions of data point in seconds you
03:58cannot read 1 million emails in your lifetime but an AI system can analyze them in minutes machine are
04:05consistent human get tired human get distracted human have mood swings this is the
04:12problem with the human like where machine do not if designed correctly they produce
04:17consistent output every time machine detect pattern at massive scale imagine
04:22scanning 50 millions bank transaction to detect fraud impossible for a human being an AI system can do it in
04:31real time
04:31machines have enormous memory they store historical data and reference it instantly
04:39machines operate 24 hours a day seven days a week they do not sleep or need breaks so here is
04:46the key
04:46inside AI is not here to replace human intelligence it is here to augment it human plus AI is more
04:55powerful than
04:56human alone that's combination is the future now let us define artificial
05:01intelligence clearly artificial intelligence is the simulation of human intelligence in
05:07machines in simple word it means giving machines the ability to perform tasks that
05:15normally require human intelligence tasks like learning reasoning recognizing objects
05:22understanding languages and making decisions AI is not robot taking over the world AI is software that mimics
05:33intelligence behavior AI stands at four major pillars the first pillar is perception perception means
05:41signing sensing the word for human perception include sight here hearing for machine perception include computer vision
05:51speech recognition and text recognition and text recognition when you unlock your phone using your face that is AI perception
05:58when google photos group images of the same person that is perception when a self-driving car detect pedestrians that
06:09is perception
06:09the second pillar is reasoning reasoning means making decision based on information an AI system analyze x-rays and predict
06:21tumor tumor is using reasoning a loan approval system analyze income and credit history is using reasoning
06:29reasoning relies on logic and probabilities the third pillar is learning learning means improving performance with experience
06:37if you take the example of netflix netflix improves recommendation based on what you watch and skip gmail improve spam
06:46detection based on user feedback
06:49the system adapts over time the system adapts over time that is learning the fourth pillar in artificial intelligence is
06:56communication communication includes understanding and generating human language when you try questions into gpt
07:05like in chat gpt or in some other npl tool and receive a structured answer that is ai communication when
07:13google
07:13translate converts language instantly that is communication now let us remove confusion between ai machine
07:20learning and deep learning like this is the three part we will discuss imagine three circles the bigger
07:26circle is artificial intelligence inside is machine learning and inside that is deep learning artificial intelligence is
07:34the broad goal of making machines intelligence machine learning is one method to achieve that goal
07:41and welcomes the part of deep learning deep learning is a specialized form of machine learning all deep learning is
07:48machine learning all
07:50deep learning is machine learning all machine learning is artificial intelligence
07:53but not all artificial intelligence is machine learning earlier ai systems were rule based
08:00programmers manual wrote rules such as if email contains certain words
08:06then mark as spam writing thousands of rules is insufficient machine learning changes that instead of writing rules we give
08:16machines data and they discover patterns automatically deep learning goes further using neural network is inspired by human brain
08:26these networks transform data through multiple layers
08:30deep learning exercises deep learning excels in image recognition speech recognition and language modeling
08:39after major breakthroughs around 2012 ai capability accelerate dramatically pause and reflect
08:50you now understand what intelligence means you understand the difference between
08:55human and machine intelligence you understand what artificial intelligence actually is
09:04you understand the four pillars of ai you understand the relationship between ai
09:10machine learning and deep learning
09:14this foundation is powerful without clarity coding ai becomes mechanical
09:20with clarity everything correct logically and this is only the beginning
09:25you are no longer just a user of ai system you are beginning to understand how they work
09:31that shift from user to thinker is powerful the student who master fundamental deeply are the ones who build the
09:40future
09:41and today you have taken your first time
09:43your first time
09:44so
09:44larger
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