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Mischa Vandenburg November 22, 2024 19m

Excalidraw For Obsidian Zettelkasten - Studying AI - Technical Note-taking

Read full transcript 13 segments
  1. in this video I'm going to continue in this video I'm going to continue processing the notes from this book processing the notes from this book processing the notes from this book artificial intelligence a guide for artificial intelligence a guide for artificial intelligence a guide for thinking humans and in the previous thinking humans and in the previous thinking humans and in the previous videos I've created a bunch of notes videos I've created a bunch of notes videos I've created a bunch of notes about the definition of AI and machine about the definition of AI and machine about the definition of AI and machine learning and such like and what I also learning and such like and what I also learning and such like and what I also like to do is to implement visual like to do is to implement visual like to do is to implement visual learning in my system so I am not a very learning in my system so I am not a very learning in my system so I am not a very visual person by definition and that's visual person by definition and that's visual person by definition and that's why like drawing mind maps and Inc why like drawing mind maps and Inc why like drawing mind maps and Inc incorporating image in my not taking incorporating image in my not taking incorporating image in my not taking system is has been proven to be very system is has been proven to be very system is has been proven to be very helpful and that's what I'm going to be helpful and that's what I'm going to be helpful and that's what I'm going to be doing today so I I have this note here doing today so I I have this note here doing today so I I have this note here that I didn't show in the previous that I didn't show in the previous that I didn't show in the previous videos but this is basically what videos but this is basically what videos but this is basically what sparked this journey I wanted to know sparked this journey I wanted to know sparked this journey I wanted to know more about the AI fundamentals and here more about the AI fundamentals and here more about the AI fundamentals and here I had a several questions that I wanted I had a several questions that I wanted I had a several questions that I wanted to answer and then I asked and I was to answer and then I asked and I was to answer and then I asked and I was recommended this book by a AI friend of recommended this book by a AI friend of recommended this book by a AI friend of mine a real friend who specializes in Ai mine a real friend who specializes in Ai mine a real friend who specializes in Ai and most of these questions have already and most of these questions have already and most of these questions have already been answered from that book so it was a been answered from that book so it was a been answered from that book so it was a very good recommendation so from this very good recommendation so from this very good recommendation so from this note I created this AI fundamentals note I created this AI fundamentals note I created this AI fundamentals drawing which is completely empty but I drawing which is completely empty but I drawing which is completely empty but I say this because I'm going to call this say this because I'm going to call this say this because I'm going to call this the the middle node of this mind map is the the middle node of this mind map is the the middle node of this mind map is going to be AI fundamental so it's going going to be AI fundamental so it's going going to be AI fundamental so it's going to be definitions and basic yeah the the to be definitions and basic yeah the the to be definitions and basic yeah the the fundamentals of AI that that I want to fundamentals of AI that that I want to fundamentals of AI that that I want to explore

  2. explore explore so following this structure there is so following this structure there is so following this structure there is singularity and a definition of singularity and a definition of singularity and a definition of artificial intelligence AI so there are artificial intelligence AI so there are artificial intelligence AI so there are def different several things that I want def different several things that I want def different several things that I want to do here so now I'm going to think to do here so now I'm going to think to do here so now I'm going to think about do I want to have a node that's about do I want to have a node that's about do I want to have a node that's called called called definitions and am I going to then definitions and am I going to then definitions and am I going to then expand this mind map later or am I take expand this mind map later or am I take expand this mind map later or am I take going going going to um basically take this as a to um basically take this as a to um basically take this as a definitions mind map let me definitions mind map let me definitions mind map let me think um yeah I think I've decided that I'm um yeah I think I've decided that I'm not going to call it AI fundamentals I'm not going to call it AI fundamentals I'm not going to call it AI fundamentals I'm going to call it AI going to call it AI going to call it AI definitions and then I can create a definitions and then I can create a definitions and then I can create a later I create can create one that's later I create can create one that's later I create can create one that's called AI fundamentals if I want to um called AI fundamentals if I want to um called AI fundamentals if I want to um but this actually the most important but this actually the most important but this actually the most important thing is that thing is that thing is that I uh AI definitions that I process these I uh AI definitions that I process these I uh AI definitions that I process these definition notes that I have created so definition notes that I have created so definition notes that I have created so far so let's start with the definition far so let's start with the definition far so let's start with the definition of artificial intelligence so here we have the note intelligence so here we have the note artificial intelligence we have this uh artificial intelligence we have this uh artificial intelligence we have this uh big note that has that contains the big note that has that contains the big note that has that contains the information and what I like to do is I information and what I like to do is I information and what I like to do is I will then um let's see insert any file

  3. will then um let's see insert any file will then um let's see insert any file artificial artificial artificial intelligence and here is this not intelligence and here is this not intelligence and here is this not Definition of artificial intelligence Definition of artificial intelligence Definition of artificial intelligence and then I like to embed that as an and then I like to embed that as an and then I like to embed that as an image like image like image like this so then I have the text in um in this so then I have the text in um in this so then I have the text in um in this lovely excal font and then I can this lovely excal font and then I can this lovely excal font and then I can use this as a base and I can then add use this as a base and I can then add use this as a base and I can then add some imagery here if I want to but the some imagery here if I want to but the some imagery here if I want to but the it was invented by it was invented by it was invented by um McCarthy in um McCarthy in um McCarthy in 1956 so then I will some of the things 1956 so then I will some of the things 1956 so then I will some of the things that are important here is that that are important here is that that are important here is that first first first defined in McCarthy um and then I like this a McCarthy um and then I like this a branch of computer science that studies the properties of that studies the properties of intelligence by synthesizing intelligence by synthesizing intelligence by synthesizing intelligence so let me just open up this intelligence so let me just open up this intelligence so let me just open up this note and let's and let's just add this okay so this is the the text now a

  4. okay so this is the the text now a branch of computer science that okay a branch of computer s science that okay a branch of computer s science that studies the properties of studies the properties of studies the properties of intelligence by synthesizing intelligence by synthesizing intelligence by synthesizing intelligence maybe I like to I like how this visually breaks down to I like how this visually breaks down into bits here so it's first defined into bits here so it's first defined into bits here so it's first defined here a branch of computer science yes here a branch of computer science yes here a branch of computer science yes and then later I have a smaller and then later I have a smaller and then later I have a smaller definition and let me definition and let me definition and let me see okay so this these two blocks are see okay so this these two blocks are see okay so this these two blocks are basically a definition so I will just basically a definition so I will just basically a definition so I will just add a node called add a node called add a node called definition here definition here definition here and then artificial intelligence and then artificial intelligence and then artificial intelligence also breaks down in this symbolic and also breaks down in this symbolic and also breaks down in this symbolic and subsymbolic AI right that's what we have subsymbolic AI right that's what we have subsymbolic AI right that's what we have over here symbolic Ai and subsymbolic AI so here I would AI so here I would then make another one which is then make another one which is then make another one which is called uh types of AI and then here I would then and then here I would then add

  5. symbolic okay so this note I'm not sure symbolic okay so this note I'm not sure if I'm going to keep that if I'm going to keep that if I'm going to keep that here maybe it can be here like to have here maybe it can be here like to have here maybe it can be here like to have it what I'm basically doing is I'm it what I'm basically doing is I'm it what I'm basically doing is I'm creating a visual essay I really like to creating a visual essay I really like to creating a visual essay I really like to do do do that so here it's very clear now what that so here it's very clear now what that so here it's very clear now what the definition is and where it came McCarthy like that by McCarthy like that by McCarthy and here the definition is McCarthy and here the definition is McCarthy and here the definition is clear now I have types of AI symbolic Ai clear now I have types of AI symbolic Ai clear now I have types of AI symbolic Ai and Subs symbolic AI now here I could and Subs symbolic AI now here I could and Subs symbolic AI now here I could insert insert insert this let me see Subs symbolic this let me see Subs symbolic this let me see Subs symbolic AI as AI as AI as image then it's clear and then I can do image then it's clear and then I can do image then it's clear and then I can do another image symbolic image symbolic AI as image so AI as image so AI as image so here I can actually here I can actually here I can actually just remove just remove just remove these and then if I want to explore these and then if I want to explore these and then if I want to explore symbolic and Subs symbolic AI I have my symbolic and Subs symbolic AI I have my symbolic and Subs symbolic AI I have my nodes directly over nodes directly over nodes directly over here so that is really nice that means here so that is really nice that means here so that is really nice that means that I can basically visually explore the

  6. basically visually explore the definitions of these art types of definitions of these art types of definitions of these art types of artificial artificial artificial intelligence so I have done now I have a intelligence so I have done now I have a intelligence so I have done now I have a bit of an overview of what I want but bit of an overview of what I want but bit of an overview of what I want but the next one is the next definition is the next one is the next definition is the next one is the next definition is going to be machine going to be machine going to be machine learning but related to these two there learning but related to these two there learning but related to these two there are a few more notes so let's first are a few more notes so let's first are a few more notes so let's first deepen those a bit more so symbolic deepen those a bit more so symbolic deepen those a bit more so symbolic AI leads to Subs symbolic Ai and Subs AI leads to Subs symbolic Ai and Subs AI leads to Subs symbolic Ai and Subs symbolic AI leads to symbolic AI leads to symbolic AI leads to perceptron so with the perceptron so with the perceptron so with the perceptron that should definitely be perceptron that should definitely be perceptron that should definitely be link to this so here I should link to this so here I should link to this so here I should have I don't know if I should have the have I don't know if I should have the have I don't know if I should have the file let me see what does it look like perceptron here well it looks pretty perceptron here well it looks pretty cool but then now I have basically have cool but then now I have basically have cool but then now I have basically have this the basic structure going now I I this the basic structure going now I I this the basic structure going now I I like to add some imagery well first I'm like to add some imagery well first I'm like to add some imagery well first I'm going to add some color so I'm going going to add some color so I'm going going to add some color so I'm going to uh use this marker and I will then I like to this marker and I will then I like to start with the blue one in this case start with the blue one in this case start with the blue one in this case start with the thickest start with the thickest start with the thickest one no I want the other one so this one no I want the other one so this one no I want the other one so this one

  7. yeah like that then I'm going to draw yeah like that then I'm going to draw some more branches here some more branches here some more branches here definition andp types of definition andp types of definition andp types of AI and then these Branch out to this and AI and then these Branch out to this and AI and then these Branch out to this and this and all of this branches and all of this and all of this branches and all of this and all of this branches and all of this is related to this image over here this is related to this image over here this is related to this image over here so I like to have that so I like to have that so I like to have that here now types of here now types of here now types of AI is going to AI is going to AI is going to be branching to symbolic Ai be branching to symbolic Ai be branching to symbolic Ai and that one I should use a different and that one I should use a different and that one I should use a different marker here this this [Music] [Music] [Music] one and this one and this leads to this one all right so this is already looking one all right so this is already looking quite visually pleasing now what I like quite visually pleasing now what I like quite visually pleasing now what I like to do is I like to add some images so to do is I like to add some images so to do is I like to add some images so for Subs symbolic AI we have this for Subs symbolic AI we have this for Subs symbolic AI we have this perceptron and for that we have a neuron so I will go to Google images and I'm so I will go to Google images and I'm just going to add a neuron just going to add a neuron just going to add a neuron image feel free to join my community I image feel free to join my community I image feel free to join my community I have courses on no taking and we are all have courses on no taking and we are all have courses on no taking and we are all geeking out on learning techniques and geeking out on learning techniques and geeking out on learning techniques and studying if you want to become a better studying if you want to become a better studying if you want to become a better engineer you should definitely join this engineer you should definitely join this engineer you should definitely join this and if you can't afford it there is the

  8. and if you can't afford it there is the and if you can't afford it there is the free free free community no questions asked you can community no questions asked you can community no questions asked you can just add you can just join and interact just add you can just join and interact just add you can just join and interact with people and make new with people and make new with people and make new friends okay so after a bit of searching friends okay so after a bit of searching friends okay so after a bit of searching I've now found a an image that I quite I've now found a an image that I quite I've now found a an image that I quite like which then represents the like which then represents the like which then represents the perceptron in this case so this looks perceptron in this case so this looks perceptron in this case so this looks pretty good I like this this is just a pretty good I like this this is just a pretty good I like this this is just a bit of extra visual um imagery here and bit of extra visual um imagery here and bit of extra visual um imagery here and then symbolic AI this actually reminds then symbolic AI this actually reminds then symbolic AI this actually reminds me of a um cover from the band death me of a um cover from the band death me of a um cover from the band death metal metal metal or for from The Band Called or for from The Band Called or for from The Band Called Death let me see Death let me see Death let me see that's death that's death that's death symbolic yeah this is a really symbolic yeah this is a really symbolic yeah this is a really interesting image and I think I'm just interesting image and I think I'm just interesting image and I think I'm just going going going to take this image and use to take this image and use to take this image and use that because I like it it it's a bit that because I like it it it's a bit that because I like it it it's a bit fun it's a cover of fun it's a cover of fun it's a cover of a an of um a favorite death metal band a an of um a favorite death metal band a an of um a favorite death metal band of mine death of mine death of mine death symbolic but I can use this to symbolic but I can use this to symbolic but I can use this to remember better because perceptron is a remember better because perceptron is a remember better because perceptron is a neuron in my mind now now I link this to neuron in my mind now now I link this to neuron in my mind now now I link this to the brain this is how I remember that the brain this is how I remember that the brain this is how I remember that Subs symbolic AI is inspired by Subs symbolic AI is inspired by Subs symbolic AI is inspired by biological brains now symbolic biological brains now symbolic biological brains now symbolic AI uh is more logical it has more AI uh is more logical it has more AI uh is more logical it has more reasoning so I just have to figure out

  9. reasoning so I just have to figure out reasoning so I just have to figure out in a in a in a relationship why why symbolic AI is relationship why why symbolic AI is relationship why why symbolic AI is actually related to this image but that actually related to this image but that actually related to this image but that is the reason why I do it like this is the reason why I do it like this is the reason why I do it like this and um I I like that there's an i in the and um I I like that there's an i in the and um I I like that there's an i in the Co in the cover here so symbolic AI has Co in the cover here so symbolic AI has Co in the cover here so symbolic AI has an ey an ey an ey and uses transparent reasoning and human and uses transparent reasoning and human and uses transparent reasoning and human language so death symbolic is created by language so death symbolic is created by language so death symbolic is created by a human Chuck schuer who died recently a human Chuck schuer who died recently a human Chuck schuer who died recently or who die very young so that's the way or who die very young so that's the way or who die very young so that's the way I can remember this but just by engaging I can remember this but just by engaging I can remember this but just by engaging with this material in a visual way like with this material in a visual way like with this material in a visual way like this it is now being lodged into my mind this it is now being lodged into my mind this it is now being lodged into my mind it's much clearer now so now I have done it's much clearer now so now I have done it's much clearer now so now I have done my artificial intelligence my artificial intelligence my artificial intelligence definition now I can look more into definition now I can look more into definition now I can look more into machine learning I have a couple of machine learning I have a couple of machine learning I have a couple of definitions for machine learning as definitions for machine learning as definitions for machine learning as well so um machine learning here is well so um machine learning here is well so um machine learning here is algorithms that enable computers to algorithms that enable computers to algorithms that enable computers to learn from data and that is a very nice and concise data and that is a very nice and concise definition so let's see let's add definition so let's see let's add definition so let's see let's add machine learning machine learning machine learning here machine learning and I'm going to here machine learning and I'm going to here machine learning and I'm going to make that orange like this and machine learning

  10. orange like this and machine learning and I'm going to and I'm going to and I'm going to then maybe add this file machine learning and we had the learning and we had the [Music] file here machine learning is a branch file here machine learning is a branch of AI where machines learn from their of AI where machines learn from their of AI where machines learn from their own data or experiences now like I'm just in the process of now like I'm just in the process of learning here I'm just creating this as learning here I'm just creating this as learning here I'm just creating this as I go along but as I create these mind I go along but as I create these mind I go along but as I create these mind maps they are very likely to maps they are very likely to maps they are very likely to change so I know that I'm going to be change so I know that I'm going to be change so I know that I'm going to be interested more in machine learning in interested more in machine learning in interested more in machine learning in the future so this case I'm actually the future so this case I'm actually the future so this case I'm actually going to ex leave some room for going to ex leave some room for going to ex leave some room for expansion here because I know that I'm expansion here because I know that I'm expansion here because I know that I'm going to be learning more about machine going to be learning more about machine going to be learning more about machine learning because about training models learning because about training models learning because about training models and things like that so I'm deliberately and things like that so I'm deliberately and things like that so I'm deliberately keeping some more space here but for now keeping some more space here but for now keeping some more space here but for now I have the definition machine learning I have the definition machine learning I have the definition machine learning algorithms that enable computers to algorithms that enable computers to algorithms that enable computers to learn from data it's a branch of AI where machines learn from their own AI where machines learn from their own data or experiences and this one has data or experiences and this one has data or experiences and this one has this elaboration about um what learning this elaboration about um what learning this elaboration about um what learning actually is and maybe I should have a actually is and maybe I should have a actually is and maybe I should have a definition of learning and intelligence definition of learning and intelligence definition of learning and intelligence in this for

  11. in this for in this for example like I have artificial example like I have artificial example like I have artificial intelligence and machine learning but intelligence and machine learning but intelligence and machine learning but maybe I should actually have a section maybe I should actually have a section maybe I should actually have a section on well well so what is so what is so what is learning actually and what and what is intelligence and then I could have like intelligence and then I could have like a human sense so maybe a human sense so maybe a human sense so maybe human and then machine so what does it mean for a for a machine so what does it mean for a for a machine to be intelligent because the machine to be intelligent because the machine to be intelligent because the def definition here is machine learning def definition here is machine learning def definition here is machine learning algorithm that enable to computers to algorithm that enable to computers to algorithm that enable to computers to learn from their own data learn from their own data learn from their own data well maybe actually this should be down well maybe actually this should be down well maybe actually this should be down here and maybe you start seeing now how here and maybe you start seeing now how here and maybe you start seeing now how manipulating these things visually can manipulating these things visually can manipulating these things visually can be so powerful because I'm sparking be so powerful because I'm sparking be so powerful because I'm sparking these questions for myself now as I'm these questions for myself now as I'm these questions for myself now as I'm engaging with these words and arranging engaging with these words and arranging engaging with these words and arranging them on a white on a board like this and them on a white on a board like this and them on a white on a board like this and playing with the ideas and I'm moving playing with the ideas and I'm moving playing with the ideas and I'm moving things around and now I I actually know things around and now I I actually know things around and now I I actually know I realize that okay we're going into

  12. I realize that okay we're going into I realize that okay we're going into machine learning but I don't even know machine learning but I don't even know machine learning but I don't even know what learning actually means so I could what learning actually means so I could what learning actually means so I could have a learning section here which is have a learning section here which is have a learning section here which is then related to this one for example and then related to this one for example and then related to this one for example and I can make these connections between I can make these connections between I can make these connections between there what is intelligence well maybe there what is intelligence well maybe there what is intelligence well maybe intelligence is more related to this one intelligence is more related to this one intelligence is more related to this one so maybe this note should just go on so maybe this note should just go on so maybe this note should just go on intelligence and this is more about intelligence and this is more about intelligence and this is more about learning learning learning Etc so what what is Etc so what what is Etc so what what is intelligence and then what is learning intelligence and then what is learning intelligence and then what is learning so I think this is a good the good way so I think this is a good the good way so I think this is a good the good way to spread them out I have learning with to spread them out I have learning with to spread them out I have learning with machine learning and artif intelligence machine learning and artif intelligence machine learning and artif intelligence with artificial with artificial with artificial intelligence and this is B basically how intelligence and this is B basically how intelligence and this is B basically how I go about using excal draw in yeah I go about using excal draw in yeah I go about using excal draw in yeah going deeper into this and as I work going deeper into this and as I work going deeper into this and as I work through this through these Concepts and through this through these Concepts and through this through these Concepts and as I go along I identify gaps in my as I go along I identify gaps in my as I go along I identify gaps in my knowledge like I did now I like I should knowledge like I did now I like I should knowledge like I did now I like I should Define what learning is before I even go Define what learning is before I even go Define what learning is before I even go into art in machine into art in machine into art in machine learning and the result is that I have learning and the result is that I have learning and the result is that I have this mind map now that I can then use as this mind map now that I can then use as this mind map now that I can then use as a YouTube video I can then start here a YouTube video I can then start here a YouTube video I can then start here with AI definitions and I can use this with AI definitions and I can use this with AI definitions and I can use this as a journey to go through and then I as a journey to go through and then I as a journey to go through and then I can just take this as a visual essay and can just take this as a visual essay and can just take this as a visual essay and talk about what I've learned and share talk about what I've learned and share talk about what I've learned and share these things in a visually pleasing way

  13. these things in a visually pleasing way these things in a visually pleasing way and not only is this a nice way of and not only is this a nice way of and not only is this a nice way of presenting it's much nicer than just uh presenting it's much nicer than just uh presenting it's much nicer than just uh PowerPoint slides but the process of PowerPoint slides but the process of PowerPoint slides but the process of creating this helps me to learn so much creating this helps me to learn so much creating this helps me to learn so much more and so much deeper and so much more and so much deeper and so much more and so much deeper and so much better and this is how I learn much better and this is how I learn much better and this is how I learn much faster than other people even though you faster than other people even though you faster than other people even though you might even though you see that I spend a might even though you see that I spend a might even though you see that I spend a lot of time doing this lot of time doing this lot of time doing this but when I do it I do it in I I learn but when I do it I do it in I I learn but when I do it I do it in I I learn more much more deeper because I'm more much more deeper because I'm more much more deeper because I'm interacting with it visually and this is interacting with it visually and this is interacting with it visually and this is why these tools are so helpful because I why these tools are so helpful because I why these tools are so helpful because I am not a visual person I I'm not a an am not a visual person I I'm not a an am not a visual person I I'm not a an artist I'm very bad at drawing but I do artist I'm very bad at drawing but I do artist I'm very bad at drawing but I do like to arrange things visually and this like to arrange things visually and this like to arrange things visually and this is a skill that I've learned over time is a skill that I've learned over time is a skill that I've learned over time and it really helps me in my thinking

Summary

This video continues processing notes from "Artificial Intelligence: A Guide for Thinking Humans," focusing on understanding AI fundamentals and definitions. The presenter emphasizes the benefit of visual learning through mind maps and incorporating images, and plans to create an AI-focused mind map centered on definitions. The practical takeaway is to actively process and visualize the notes to gain a deeper understanding of AI concepts.

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