But how does AI really work? Let's start with the basics...

Let's go over the basics about how AI works.
AI seems to be everywhere and will likely be growing its reach. Learning the basics of how AI works under the hood with machine learning. Let's learn some key concepts and terms that will help build a more fundamental understanding of how AI really.
0:05: Goal of today
0:31 - Oh, hi! I'm Victor!
0:41 - Video based on a talk
1:07 - AI is ML
1:14 - AI works by using data
1:47 - Supervised Learning
2:12 - Unsupervised Learning
2:33 - Reinforcement Learning
3:28 - Cats and Dogs Example
3:51 - Simple Line
3:59 - Curvy Line
4:23 - Training Set
4:28 - Test Set
4:41 - Simple Line Evaluation
4:47 - Curvy Line Evaluation
4:56 - Bonus Line!
5:00 - The AI is the Line!
5:20 - Full Process Review
5:43 - How Does the AI Adjust?
5:47 - How Does the AI Make Different Lines?
6:23 - Next video: GenAI
6:44 - Thanks for Watching!
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My GitHub Profile: github.com/MrGeislinger
Original Talk Slide Deck: github.com/MrGeislinger/ai-ds-talk-for-kids

[@mukta5417]

Very clear and concise, don't stop uploading!

[@VictorsOtherVector]

Thank you! And I'm hoping to make more along the lines of this video, so hopefully more to come soon :D

[@proterotype]

For whatever reason the repeatedly changing line between the cats and dogs really resonated with me. It was like seeing a linear regression line evolving to become a better fit. Cool stuff

[@VictorsOtherVector]

Yes! That's the direction I was going for! The idea I had was for someone seeing this to get a subtle preview before even knowing or realizing what it really was (before they learn the "technical bits") I brought that in from my live talk because I could see people having that 'aha moment' I'm so proud of that little animation :D

[@K1NGKGKK]

As a kid, i can verify this is much better for my sanity than the thing Veritasium made: kzbin.info/www/bejne/fYfWhoKriM-pmcksi=ppBe8V8lHZm0OZWj Don’t get me wrong, both are amazing, but the word [MATH] made it a lot easier.

[@VictorsOtherVector]

lol I've seen that video and there's some great stuff in there! I'll take it a huge compliment to be compared to Veritasium; thanks! I feel that there's so much out there about AI/ML that is either is way too basic (and oftentimes wrong) or relies too much on the "technical" bits which has most people lost and/or bored. People deserve better in understanding how AI works without having to be exposed to dreaded "math" *shudders* ; ) From the talk I gave to 10-14 year olds (which this videos is based on), I felt there was a decent middle-ground. In particular, I'm honestly pretty pleased with the dog-cat plot example at 3:47

[@K1NGKGKK]

@@VictorsOtherVector Yes mr. Victor, i have done a decent amount of self study in the area and (even though i cannot even make one in my dreams) I am starting to get the hang of it a itty-little bit. I shared this with my classmates and close friends and they gave me weird faces when the saw the thumbnail on the screenshare ‘oh come on, another video i don’t understand’ but by the end of it they asked me to play the one by Veritasium! They were hooked to the topic and i cannot thank you enough for spreading knowledge about the shaping aspect to the future age (probably)which is simple and easy to understand.🫡

[@VictorsOtherVector]

You have no idea how happy this comment made me feel 🥲 This was the exact goal I had in mind with my original talk and then this video! I wanted to give enough to get someone interested and possibly looking to get into the more "technical stuff". Awesome that you were able to share this with others and exactly this happened! And don't discount yourself if you're interested! It's totally possible to get involved in this from knowing basically nothing. After understanding the fundamentals of what AI is doing, any extra coding (Python) and math knowledge is only going to help! One of my plans is to make a "zero to machine learning engineer" series that will start with this or a similar video. The idea is to get someone knowing nothing about how AI works, to understanding how AI works, to creating something themselves with code! If you want to get into how this stuff works, my suggestion is first learn a little Python programming (if you haven't already). This might seem daunting at first, but trust me that it's not that bad! After you get the basics of Python, it's a lot easier to ramp up into building AI/ML. My go to recommendation is "A Whirlwind Tour of Python" which is freely available by the author. My suggestion is go to this link so you can directly start running Python code in Colab (you simply need a Google account): colab.research.google.com/github/jakevdp/WhirlwindTourOfPython/blob/master/Index.ipynb If you go through that or you're already feeling good about coding Python, my next suggestion is to look at "Python Data Science Handbook" by the same author (also free!) jakevdp.github.io/PythonDataScienceHandbook/ This gives the base of using Python to work with data, and the last chapter shows you how to start doing classic ML (the stuff before neural networks). Again, thank you for the comment!! And good luck with whatever you do next! PS: Out of courtesy to you, would you mind me featuring this comment in a future video? I'm not sure if I will but I wanted to give you a chance to say "no" :D

[@K1NGKGKK]

@VectorsOtherVictor, thank you