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Hi and welcome to the first level in this

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training program about artificial intelligence and machine learning.

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My name is Idan and I will be your teacher.

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You probably know that for the last

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couple of years, machine learning has become

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a core important technology for many products.

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Those ML algorithms are everywhere.

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There are countless growing amounts of

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practical application of machine learning already

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applied in many places.

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The big players in the market like Google,

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Amazon, Facebook, Microsoft and many others, are investing

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a huge amount of funding on ongoing AI

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research initiatives while trying to lead the market

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with new practical use cases.

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Many respectable high educational organizations have some

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flavor of AI educational and research programs.

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There are hundreds of new startup companies that

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their core product or service is based on

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AI as a market differentiator. Most of the

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large enterprise companies, like for example, telecom operators,

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are building dedicated AI teams to better utilize

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their growing amount of collected data.

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As part of the digital strategy of many large

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organizations, AI is becoming a top priority direction.

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Just check by yourself how many Data

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Scientists, Machine Learning Engineers, AI Researchers, Software

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Engineers, Product Managers, Project Managers are needed

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right now in this area.

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The market demand for skilled people is going

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rapidly, correlated of course, to the amount of

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money being invested today by the industry.

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I don't know if you heard about it before,

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but some countries like China, US, Russia and others

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already developed a dedicated strategy for AI.

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Those countries identified AI as a

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major technology in the upcoming future.

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In 2017, Russian President Vladimir Putin said something

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like that, "Artificial intelligence is the future, not

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only for Russia but for all humankind.

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It comes with colossal opportunities, but also

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threats that are difficult to predict.

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Whoever becomes the leader in this sphere

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will become the ruler of the world."

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Sounds a little bit scary, but I

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just wanted to emphasize that unlike other

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technologies, AI is perceived differently by the

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business industry as well as by governments.

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There will be a national level

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race on AI between countries.

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Which country will lead that technology 10-15

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years from now, leveraging the economical and

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maybe also the military potential of AI.

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This introduction is just to let you know that AI is

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coming big time and I think each one of us should

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have some level of understanding about this important topic.

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I would like to share with you some insights

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I gained while diving into the subject of AI.

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When I started my personal journey

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while exploring this subject, I was quickly overwhelmed

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by the amount of knowledge and skills that

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are needed to understand some of the basic

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fundamental things about AI and ML.

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It is easy to get lost.

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Many educational sources that are available on the

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internet or while using books are quickly jumping

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into complex math and statistical calculation that will

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reduce the motivation to learn this subject.

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And some people will probably say this is for

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PhD graduate students, it's too complex to understand.

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On the other side of the spectrum, some

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of those educational sources are focusing on practical

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implementations, meaning example, using some programming language like

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Python or any other development framework.

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My assumption is that a large portion of

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students that are going to join this training

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would like to understand the concept of AI

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without really going into the practical side and

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without trying to read some heavy statistical books.

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Another challenge is the number of

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buzwords we will hear about AI.

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For me, it was a challenge to understand how things

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are connected to each other, so I can better understand

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the big picture and the relation between subtopics before diving

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into a specific topic. As an outsider or beginner trying

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to understand the evolving AI world,

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it may look like magic tricks performed by

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fast computer programmed by really smart people.

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We enter some data into some machine learning black

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box and somehow we can get amazing output

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on the other side. What's going

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inside that box is a mystery.

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So my main objective in this level level one is to

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make the AI subject more accessible, easier to digest it.

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In this training, we are going to open that black box.

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We will look inside and understand in high

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level how this box was created, what are

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the building blocks inside, what should be our

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expectation while using such box, and more things.

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That's it for now.

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I think we are ready to start.