Lucas, that is very motivating, thank you! I've been busy getting new parts of my life in order, but i'm finding my way back to the videos and will some cool new presentation methods and topics very soon! apologies for the loooooong delays!
Other videos gloss over salient points like "data are basically just points" and "vectors are just a fancy name for points", because they see it as "obvious". It's not obvious for a beginner, so this was very helpful.
+Anders Feder Obviously I'm new to AI, but in mathematics vectors are not points, they are the carriers of what's needed to move from one point to another. Can someone elaborate on vectors in AI, because it seems like a simplification error.
+sanshinron There is nothing in the definition of a vector that makes it a carrier of something. That is merely a way to apply them. A vector is fully specified by a set of coordinates, and so is a point, and as such they are the same thing.
+Anders Feder A point has a position, while a vector has magnitude (length) and direction. However, if you assume that the vector starts at the origin point, then you can get a point using a vector.
Soulsphere001 To be completely exact you would say that a vector corresponds to an (end) point and that point corresponds that same vector. So even if the vector does not have a position, its end point does. And even if the end point does not have a magnitude and direction, its corresponding vector does. But to me, the video got that idea across, which was my main concern when watching.
Amazing, I am amazed just hold my breath, paused the video and wrote this comment. Such an lucid explanation on machine learning and the moment in the video around 3 to 3:30 min is so much mind opening that how do we perceive knowledge. It too me the the concept proposed in Vedas and Upnishidas about universe, Brahaman and Maya. Where it says entire universe is manifestation of Brahman and then how we perceive it through our senses creates Maya or I will say a relative knowledge. This has motivated me to further perceive the knoledge of Machine Learning and AI.
hello, Dariusz. if you're interested in ML and AL you can check out my introductory ebook "How to Create Machine Superintelligence", which is available for free in Amazon kindle store till 2 April 2017
Hello Dave, I missed the Matlab example of supervised, unsupervised and reinforcement learning. Did you post already? Thank you for posting this amazing video to introduce Machine learning with a real word examples.
if you're interested in this subject, you can check out my introductory ebook about computations, AI, and ML "How to Create Machine Superintelligence", available for free in Amazon kindle store till 2 April 2017
Wow I learned statistics. Out of 78 dogs I measured in my neighborhood 66% of dogs had bitten me and on that 66% 34% haven't had an injection for anti-rabies.
Very good tutorial! (except for the random noise background at the beginning, which got me dizzy). For the rest of the tutorial, what software did you use to make the video this time (the presentation+drawing+voice recording at once)?
So can someone clarify.... When storing data for complex objects, are we storing data into multidimensional forms (Like just some thing more than x, y and z lines? I am thinking in terms of computer program where I need to create arrays.
I know I'm late but no. Really when data is stored in multidimensional arrays it looks something more like this: 0 1 2 3 4 5 0[0] [0] [0] [0] [0] [0] 1[0] [0] [0] [0] [0] [0] 2[0] [0] [0] [0] [0] [0] 3[0] [0] [0] [0] [0] [0] 4[0] [0] [0] [0] [0] [A] This is a two dimensional array where if we wanted to get the data at "A" we would write something like this: [5][4]. I've found that it's more accurate to think of them as rows and columns of list rather than dimensions. Where three dimensions([][][]) is a row of two dimensions and four dimensions([][][][]) are the same but with three dimensions. So essentially you are not creating actual dimensions but just multiplying the data. At best you can draw a 10d array([][][][][][][][][][]) in a 3d space.
Though I found this video quite interesting (and slightly confusing in some parts), I was wondering if there was a way for you to maybe explain it in a different way...say, to a second grader? ;)
This guys knows a lot about AI but he doesn't seem to know how video compression works and how image randomness messes up video quality :) That being said, this video is amazing.
Amazing, I am amazed just hold my breath, paused the video and wrote this comment. Such an lucid explanation on machine learning and the moment in the video around 3 to 3:30 min is so much mind opening that how do we perceive knowledge. It too me the the concept proposed in Vedas and Upnishidas about universe, Brahaman and Maya. Where it says entire universe is manifestation of Brahman and then how we perceive it through our senses creates Maya or I will say a relative knowledge. This has motivated me to further perceive the knoledge of Machine Learning and AI.
this is the first time i've had to stop a video, subscribe and continue. Its an amazing explanation. Very entertaining.
Lucas, that is very motivating, thank you! I've been busy getting new parts of my life in order, but i'm finding my way back to the videos and will some cool new presentation methods and topics very soon! apologies for the loooooong delays!
Lucas _ I have to agree with you
+Student Dave whyyyy did u stop making these vids D: They were sooo good dude pls make more
Its exactly what happen 2 me
why would you have to pause the video for that?
Other videos gloss over salient points like "data are basically just points" and "vectors are just a fancy name for points", because they see it as "obvious". It's not obvious for a beginner, so this was very helpful.
A Bayesian ninja is especially cautious when faced with the obvious! Brilliant Anders!
+Anders Feder Obviously I'm new to AI, but in mathematics vectors are not points, they are the carriers of what's needed to move from one point to another. Can someone elaborate on vectors in AI, because it seems like a simplification error.
+sanshinron There is nothing in the definition of a vector that makes it a carrier of something. That is merely a way to apply them. A vector is fully specified by a set of coordinates, and so is a point, and as such they are the same thing.
+Anders Feder
A point has a position, while a vector has magnitude (length) and direction. However, if you assume that the vector starts at the origin point, then you can get a point using a vector.
Soulsphere001 To be completely exact you would say that a vector corresponds to an (end) point and that point corresponds that same vector. So even if the vector does not have a position, its end point does. And even if the end point does not have a magnitude and direction, its corresponding vector does. But to me, the video got that idea across, which was my main concern when watching.
Amazing, I am amazed just hold my breath, paused the video and wrote this comment. Such an lucid explanation on machine learning and the moment in the video around 3 to 3:30 min is so much mind opening that how do we perceive knowledge. It too me the the concept proposed in Vedas and Upnishidas about universe, Brahaman and Maya. Where it says entire universe is manifestation of Brahman and then how we perceive it through our senses creates Maya or I will say a relative knowledge. This has motivated me to further perceive the knoledge of Machine Learning and AI.
Single best introduction to machine learning I've seen. Great job!
really great introduction, I finally learned the differences between supervised and unsupervised learning
This is great! Your time/position graph has the speed approaching infinity, though.
did you stop doing this? Please do more about this topic
The first time I know what machine learning is!! Very interesting and clear instruction!
This video is really close to what I've been studying. Thanks for the series! I'll be on the lookout.
glad you're back, always loved your tutorials. very informative as well as entertaining :)
My first video on artificial intelligence. I loved your practical examples and move away from jargon. Thanks a great start for me!
Wow!!!!! Love it Pen
Yeah interesting time the accumulation and use of data..thank Denise x
Big shame that there is no continuation... :< *cry*
Great explanation Dave - inspiring! Thanks for sharing it with us!
That is the best explanation about machine learning, great!
hello, Dariusz. if you're interested in ML and AL you can check out my introductory ebook "How to Create Machine Superintelligence", which is available for free in Amazon kindle store till 2 April 2017
Hello Dave, I missed the Matlab example of supervised, unsupervised and reinforcement learning. Did you post already? Thank you for posting this amazing video to introduce Machine learning with a real word examples.
Hello This is the best explanation so far. I am trying to convince people to apply machine learning in cyber security, This was very helpful.
This video was very educational and a great introduction. Thank you!
if you're interested in this subject, you can check out my introductory ebook about computations, AI, and ML "How to Create Machine Superintelligence", available for free in Amazon kindle store till 2 April 2017
Awesome, thanks for the hint! I downloaded it just now, I'll read it in a few days :)
Hope you'll like it :)
The next tutorial is awaited Student Dave.
You have a misspelling in your title. "IntRoduction".
Thanks for the new video! Will watch it in just a moment!
and future lectures never came :(
Fantastic! Please make more of theses. Thanks :)
do you know that you are very very great. Love you as bro... Thanks man
Fantastic video! Thank you for making this easy enough for even me to understand
Wow I learned statistics. Out of 78 dogs I measured in my neighborhood 66% of dogs had bitten me and on that 66% 34% haven't had an injection for anti-rabies.
Well that was rather excellent. I am trying to understand the theory and application of Machine Learning, and this is a really great start.
Wow. This was refreshing to listen to.
What happened? Why you don't continue making videos?
I like the way you giggle during talk, I too do the same all time.
PLEASE continue this topic!!!
the rise of skynet and we are contributing to its birth. thanks Dave.
Moshe W. Nah. Standard anti intellectual entertainment. For the Greeks it was fire.
Very good tutorial! (except for the random noise background at the beginning, which got me dizzy). For the rest of the tutorial, what software did you use to make the video this time (the presentation+drawing+voice recording at once)?
keep the ML-videos coming :-)
Nice. Excellently explained.
I've been waiting for this kind of tutorial,, in machine learning. :) thanks! very well explained..
common man, i've watched this video 10 times already.. give us another one!
Please make part 2!!!
OMG this is the best video I ever watched you are AMAZING!!!
great presentation! must see
Great presentation
wowww this is really cool, Dave!!!
Thanks! where's the "next tutorial?
Really like the intro, but where can i find the next video in this series.What's the next video that implements in matlab?
Awesome Dave.. You are legend.
awesome. What program are you using to render the random world?
So can someone clarify.... When storing data for complex objects, are we storing data into multidimensional forms (Like just some thing more than x, y and z lines? I am thinking in terms of computer program where I need to create arrays.
I know I'm late but no. Really when data is stored in multidimensional arrays it looks something more like this:
0 1 2 3 4 5
0[0] [0] [0] [0] [0] [0]
1[0] [0] [0] [0] [0] [0]
2[0] [0] [0] [0] [0] [0]
3[0] [0] [0] [0] [0] [0]
4[0] [0] [0] [0] [0] [A]
This is a two dimensional array where if we wanted to get the data at "A" we would write something like this: [5][4]. I've found that it's more accurate to think of them as rows and columns of list rather than dimensions. Where three dimensions([][][]) is a row of two dimensions and four dimensions([][][][]) are the same but with three dimensions. So essentially you are not creating actual dimensions but just multiplying the data. At best you can draw a 10d array([][][][][][][][][][]) in a 3d space.
great video, very intuitive!
At home I use a CAD program to do all kinds of stuff. I want to learn an AI program to do that work for me. Which program should I use for that?
Year later, 100k views, no update in 2 years :D
You sir, are awesome!
Amazing! thank you!
Thank you for this series :)
Excellent!!
I LIKE IT SO MUCH!!
This was great
Though I found this video quite interesting (and slightly confusing in some parts), I was wondering if there was a way for you to maybe explain it in a different way...say, to a second grader? ;)
MATLAB as always! ;)
Dave Make more videos!
Thank you :D
MORE MORE!!!
awesome
you're awesome. that's all.
Isn't reinforcement learning just like brute force ??
In first iteration, yes.
ouh where is part 2? :'c
to get height and weight data it would be easier to go vet and ask them for the data
It all makes sense now - life has a point
usually it's time vs position
Is there going to be next video?
yes indeed! I'm finishing up with my thesis and will be back at it with a host of videos in a month or two! apologies for the long delay!
Student Dave Fantastic Dave, this first video is excellent.
+Student Dave 1 year later...
sir can u suggest laptop to buy for Artificial Intelligence plz
Any decent laptop would work fine
So f*k*ng good tutorial
please make more videos on ML.
soooo.... next video?
This guys knows a lot about AI but he doesn't seem to know how video compression works and how image randomness messes up video quality :) That being said, this video is amazing.
Dude.. universe part was too deep !
He died 😢
hi
I think it's a good video but your universe background made my eyes spinning and I lost focus. LOL
:(
Very Basic
I keep thinking Skrillex is talking xdddd
this noise background is just annoying
Amazing, I am amazed just hold my breath, paused the video and wrote this comment. Such an lucid explanation on machine learning and the moment in the video around 3 to 3:30 min is so much mind opening that how do we perceive knowledge. It too me the the concept proposed in Vedas and Upnishidas about universe, Brahaman and Maya. Where it says entire universe is manifestation of Brahman and then how we perceive it through our senses creates Maya or I will say a relative knowledge. This has motivated me to further perceive the knoledge of Machine Learning and AI.
Nirajkumar Bawankar Jai Guru Dev!