This is exactly the idea that Isaac Asimov had in 70's, I highly recommend you to read his short essays The New Teachers and Whatever You Wish (just google them, it's just few minutes reading really). For me it was mind-blowing that he wrote them some 40 years ago and yet they were so accurate! The future is now, baby :-)
Step 1: Embrace Mathematics. Step 2 : Master Python & Computer Science Fundamentals. Step 3 : Start Mathematical Modelling and Take up Projects. Step 4 : Be Patient and Above all Dont loose hope.
Alongside 2, learn to use numpy. This allows you to do things like matrix multiplication a lot faster using their API because they implement it in C, which is compiled versus interpreted. Otherwise, your training could take hours
You know what's wild man. I just watched this video again a few months into my learning ML to see if this made any more sense. It does. Love the content.
I've got to respectfully disagree. Calculus and linear algebra are A. Boring. and B. Really hard for most people to "just learn." (doubly so for people like me with discalculia.) Instead I would say "A really good way to learning lin-alg and calc is to apply it to a problem you are interested in, like machine learning." Your point reminds me of people who say the best way to learn to program is to start with transistors and slowly work your way through first principles to assembly language and then C. For most people this is super-hard mode with a lot of frustration and very little pay off.
I don't really know how to describe what I just watched. You are brilliant. It's like you were a tour guide who was given, ahead of time, all of the questions your audience was going to ask. Then, without missing a beat, you remixed and weaved like 7 or 19 super intricate songs into a melody for your audience's consumption. I consider a lot of the tutorial content I consume black and white, or more black black black white white white black black white etc etc. A lot of content producers fail to realize that the grey area, between the spaces on the black and white comfort checkerboard...is where the real opportunity to teach exists. I'll watch 5 videos on the same exact thing and during each video I'll be helpless not to ask the same question. You, my friend, are very fucking good at answering those types of questions. It's like....you are a machine.
There has been multiple times where I found my self not thinking I could learn machine learning because of all the new and different things. It is great to see i am not alone and that if I push through I can make it.
I have a learning dysfunction, I had to drop out of school (twice) because I just didn't understand how to use what I was being given to actually learn. This video is amazing. Thank you for putting 2 and 2 together for me on like, how to even learn! I know this was meant as a really specific thing, but like, I get it now. I understand the steps I can take to learn! 100% sincere
My experience was pretty much the same. Except it rapidly became clear that I’d forgotten nearly everything about maths - so I had a two-year detour to teach myself maths again before coming back to ML. I’m so glad I did because I now have a much richer understanding of the algos. Love the channel mate.
Literally had no idea how MC worked earlier today but after watching 3B1B's videos on Neural Networks I now understand the concept and the math behind it. Now I just need to reinforce that idea and trandlate it into code. This might only work for me since im a very fast visual learner but yeah I think he did a really good job at explaining it so props to 3B1B.
You did a great job introducing the "how to learn" aspect of what I think stumps a lot of intimidated curious learners. Basically, when you explained "When I saw this I didn't know what it meant, so I googled it." That is crazily enough, a big lesson to learn. Just hearing that at least is encouraging me to take my first independent steps to learning this stuff. So of course, thanks for the video!
Bro! You are amazing! Noob to computer science and programming here, with a lil background in maths and physics, so I m literally starting something COMPLETELY new with lil to no background on the topic, and your attitude is just amazing... People like you always jump-start my motivation to keep going regardless of the objective complexity of the subject! Thanks and you just earned a new subscriber! Thanks for taking the time to do this! Big up :)
hey jabrill first year computer science student LOVE your channel btw. I'd love for you to get into the code, maybe as a side series or even another channel when you inevitably get big. much love keep it up.
I started with basic, then worked my way up to data exploratory analysis (numpy, pandas, seaborn, matplotlib, etc. ), then I started going into machine learning and found myself going back and forth between statistics and coding. Yeah.. You need strong foundation in math, otherwise, you wouldn't know how to optimize your model to get the best possible prediction. That's my 2 cents.
Nice, you make me feel more confident about this stuff.. Yes it still looks like a mountain, but your whole message is that anything is doable one bite at a time. Thanks for that! So encouraging!
Woah, this video was epic! I think the work you're doing here is really important. I try to stop myself from slipping into the ol' Zarg langauge on the daily, glad to know I'm not alone in our fight! I think they have some sort of brain infiltration device or something.
Whoa. The LogicGod himself giant_neural_network. Thanks for stopping by man, without your beautiful breakdown series, I don't think this video would exist! 😀 - Jabril
Jabrils No way, I’m glad to be just a small part of it. This stuff is perpetually interesting and you make it even more so... glad to have found your channel! With that said I’ll end this sickening love session and just say I look forward to more of your ml projects!
I remembered this comment when I came across this article en.wikipedia.org/wiki/Curse_of_knowledge Cool to know there's a whole wiki page devoted to it lol.
For anyone that wants to start learning, there are lectures on youtube on deep learning and neural networks taught by professors at MIT that I've found very useful to understand the concepts and the lingo used
I started with AndrewNg (Best Course for me!) then go for Jeremy Howard - Deep Learning for Coder (Taught me how to code neural net) and the read Kaggles Notebooks written by others...
Aasim Baig Kaggle is a pretty cool site, I haven't explored it completely but I subscribed to their newsletters and they have pretty interesting data manipulation contests. You can see the community's submissions and some explain their Python code pretty well. It works to see real use cases which is more helpful than watching someone just keep writing code nonstop on video.
I'm so happy i found this video and your channel! This was so useful for me, I thought I was the only one who felt Andrew Ng was speaking Zarglar after the first couple of modules. You've inspired me to try again with the try-get stuck-research and repeat method. Thanks!
I researched neural networks a few months ago and I read something about needing to use the derivative of the activation function you're using and I knew no calculus at the time. So I started studying calculus and I think I got a little too carried away, because now in my free time I just do calculus instead of computer science. Watching this video made me realize this, and I'll go back to researching neural nets now :D
This video just justified all the mathematics that schools teach for Comp Sci degrees. Matrix multiplication, Summation = College Algebra. Derivatives = Calculus. Nice video, thanks!
Please have a Zarglar desk figure made, so we can buy it to support you and remind us that it's simply something we will have to go to battle against. Your videos are a masterpiece. Thanks!
I can't help but feel that the way Jabrils types things on his computer is by just making general gestures towards his keyboard, and the words appear on the screen.
This may be the best UA-cam tutorial ever. Making the process of learning this entertaining is fantastic. I had to go about it in the same way, and I *wish* there had been a video like this years ago... Sending this to my son. Thanks!
Mr. Jabrils. I did what you said and I create a NN to detect contrast on an RGB input. Took me a few hours once I understood concepts of feed forward and backward propagation. First issue I had was the inputs I gave it (0-255) did not work with a sigmoid so I had to normalize the inputs x/255 and everything worked out!
I am really struggling with all these jargon right now, and was honestly starting to feel really discouraged. Listening to you talk about your own struggles with ML when you started out made me feel much better and made me hopeful that someday I'll be able to do it too. Now I'm ready to dive back in headfirst into the struggle!
Man you an absolute madman. You did know little about math and you got into the mud like a true soldier ahahaha. Thats it guys its just about trying and resilience
I created my own machine learning network from scratch through a 12-byte code tester and it sequentially will figure out every code that is valid or invalid within a few seconds through a basic algorithm that many people use to solve Sudoku puzzles.
@@bierzuip7169 OpenAI have chosen dota because its waaaaaay more complex than lol. If you try to argue which one is better like a 12 y old then maybe you are not mature enough to understand that nowadays these are two totally different games.
@@Kolano666 They aren't... The greed consumes Dota, that's it, i played the game from the start for five years, and in Second seasson of league i quit dota... League constantly grab the players of moba, in certain way, dota becames footsal, and lol football, but just in terms of popularity, cause the main function is the same... Diferent moba is the blizzard one, Smite, Dota and Lol are even... Just because they are lazy and stuborn, the icefrog don't give, blizzard don't give, so neither of them win (Just a few who quit icefrog and start league project).
Dude I found out about your channel about a week ago and I'm already hooked on Machine Learning! Keep up the good work and keep that chill vibe you got going on.
Thank you. I think my education goes well with ML or AI. I got a degree in psychology (neurobiology focus), math and CS. Just started pursuing python once more to go into data science
Great video Jabrils! I am also learning machine learning online right now. But I am coming from a heavy math background, but not as strong programming background. Personally for me learning by teaching works best. So I am putting up tutorial detailed jupyter notebooks on my Github for the topics I learn.
Yeah I agree with you there, & obviously I have never walked the path, but I Think you should have an easier time coming from Math > CS. Best wishes! - Jabril
Yahh! Hamad Coming from Math > CS is relatively easy. If you are passionate, you are definitely gonna rock. I am from CS > Math background, trust me it is really harder than that. But in the end all struggle pays out, now I am a Data Scientist, hoping to learn new things from every one of you near future. Jabril, you are one of the best youtuber for your unique way of presentation. Good luck buddies, keep shining. - Shaon
Yo, you're a charismatic guy. You're doing great. Keep it up. I really enjoy your videos. Theyre inspiring me to try my hand at machine learning to automate my house.
Iam so happy,I just found u r video this is really helpful to me,I watched many videos of neural networks & machine learning,how to begin ,how to learn, everything is bored me but u r video is osum ...,when u started ml ..I did same. As u ,but now I can do .. I know how &where to start ..I know but it's take more time ..I can't leave without like/sub ...u r rocking man..
Your the reason I’m pushing myself to finally learn to program man You make it look easy and simple and your style of doing things is inspiring to me! Thank you Jabrils!
Machine learning is extremely dense in calculus (calculus 2 and 3 mostly) and matrix/ linear algebra. If you’re taking a computer science in college, taking the extra step to take those classes on the side if not already can def help you grasp the fundamentals.
So, let's wrap it up : Step 1: Learn math as you go (With the right resources and practice it's a lot easier than you think) Step 2: Learn programming starting preferably with Python or R Step 3: Eat a lot of sweets (candies, chocolate bars, etc...) Step 4: Practice with tangible and useful projects from day 1 Step 5: Teach what you've learned to others to keep it sharp and make sure you are actually understanding what you do Step 6: Subscribe to Jabrils to stay informed, challenged and keep leveling up your ML Skills
You don't exactly need to be from a math background, matrix multiplication is basics 10th grade math and statistics and regression is taught in every engineering college
![The moment we stopped understanding AI [AlexNet]](/img/n.gif)
Step 1: don't be afraid of math
But I am so trash at math what do I do
Same question here.
@@slimshady1006 Practice a lot, a lot, a lot. Math is a language, and like any spoken language it takes time and regular practice.
@@slimshady1006 MacDonald's
@@slimshady1006 Math is a language, the same way you understood how to speak English. I am very suspicious of people who say theyre bad at math.
Chillest programming channel i've ever stumbled upon.
Good shit bro, keep it up.
Agreed. So smooth, functional
It's good, why do you call it "shit" ?
Indo memek?
@@noopyx3414 in this context, it's slang for "stuff" ;)
also dani
If machines are so good at learning, maybe they can start teaching soon!
nice to see you here!
Hey there Niels, likewise :D
Machines can't use guns though
youll see
This is exactly the idea that Isaac Asimov had in 70's, I highly recommend you to read his short essays The New Teachers and Whatever You Wish (just google them, it's just few minutes reading really). For me it was mind-blowing that he wrote them some 40 years ago and yet they were so accurate! The future is now, baby :-)
Step 1: Embrace Mathematics.
Step 2 : Master Python & Computer Science Fundamentals.
Step 3 : Start Mathematical Modelling and Take up Projects.
Step 4 : Be Patient and Above all Dont loose hope.
on point.
What are cs fundamentals ?
Sai Ram algorithms, data structures, etc there are great videos on UA-cam explaining cs fundamentals
Alongside 2, learn to use numpy. This allows you to do things like matrix multiplication a lot faster using their API because they implement it in C, which is compiled versus interpreted. Otherwise, your training could take hours
Sai Ram open any technical university program and you will see
You know what's wild man. I just watched this video again a few months into my learning ML to see if this made any more sense. It does. Love the content.
So are we not gonna talk about how he searched google IN google ? 2:25
Edit: I know it's a joke, I'm just pointing it out
Lol, makes me cringe when I see people do that at school.
Photonic Tech HAHAHAHAHAHA
@@PKNproductions he is doing it while he sayin "quick google search" and thats the joke bro
that's the joke
meta
best way to start learning calculus and linear algebra. there is little point in doing anything else before you have a solid grasp of the basic math
agree. after learning calculus and vectors in school it started making so much more sense
I was surprised people want to start Machine Learning without even knowing what a matrix is, must make the journey a lot harder
I've got to respectfully disagree. Calculus and linear algebra are A. Boring. and B. Really hard for most people to "just learn." (doubly so for people like me with discalculia.) Instead I would say "A really good way to learning lin-alg and calc is to apply it to a problem you are interested in, like machine learning." Your point reminds me of people who say the best way to learn to program is to start with transistors and slowly work your way through first principles to assembly language and then C. For most people this is super-hard mode with a lot of frustration and very little pay off.
Simon I agree. You don't need to be an expert in calculus and linear algebra, but learning at least the basics is vital.
Simon check out 'euprime vector space' on UA-cam
I don't really know how to describe what I just watched. You are brilliant. It's like you were a tour guide who was given, ahead of time, all of the questions your audience was going to ask. Then, without missing a beat, you remixed and weaved like 7 or 19 super intricate songs into a melody for your audience's consumption. I consider a lot of the tutorial content I consume black and white, or more black black black white white white black black white etc etc. A lot of content producers fail to realize that the grey area, between the spaces on the black and white comfort checkerboard...is where the real opportunity to teach exists. I'll watch 5 videos on the same exact thing and during each video I'll be helpless not to ask the same question. You, my friend, are very fucking good at answering those types of questions. It's like....you are a machine.
I love your way of simplifying verbose and dense topics into concise understandable videos
There has been multiple times where I found my self not thinking I could learn machine learning because of all the new and different things. It is great to see i am not alone and that if I push through I can make it.
Those gloves though! 😍
Your videos keep getting better and better - keep it up man! :)
Sykoo my Unity guy
Yaay unity
This guy reminds me of Tyler the Creator, he acts dumb and wears stupid gloves but is low key a genius!
This guy is a real fraud.
I have a learning dysfunction, I had to drop out of school (twice) because I just didn't understand how to use what I was being given to actually learn. This video is amazing. Thank you for putting 2 and 2 together for me on like, how to even learn! I know this was meant as a really specific thing, but like, I get it now. I understand the steps I can take to learn!
100% sincere
wait, you're telling me all the calculus and linear algebra I learned. I can finally apply in life?
I mean all the math you learned was born to be used in gaming
@@melonman1276 makes sense
My experience was pretty much the same. Except it rapidly became clear that I’d forgotten nearly everything about maths - so I had a two-year detour to teach myself maths again before coming back to ML. I’m so glad I did because I now have a much richer understanding of the algos.
Love the channel mate.
3Blue1Browns has a very good tutorial on machine learning
Annie Möff agree
He has a good breakdown and explanation...but not necessarily a tutorial one might suspect
The One And Nearly Only his series is more of something to watch after a tutorial to understand in a better way.
i know but he is more of a visvual but not any real code or way to write the code.
No, he briefly explains neural networks and backpropagation.
Literally had no idea how MC worked earlier today but after watching 3B1B's videos on Neural Networks I now understand the concept and the math behind it. Now I just need to reinforce that idea and trandlate it into code. This might only work for me since im a very fast visual learner but yeah I think he did a really good job at explaining it so props to 3B1B.
You did a great job introducing the "how to learn" aspect of what I think stumps a lot of intimidated curious learners. Basically, when you explained "When I saw this I didn't know what it meant, so I googled it." That is crazily enough, a big lesson to learn. Just hearing that at least is encouraging me to take my first independent steps to learning this stuff. So of course, thanks for the video!
You summed it up perfectly Dan!
Bro!
You are amazing!
Noob to computer science and programming here, with a lil background in maths and physics, so I m literally starting something COMPLETELY new with lil to no background on the topic, and your attitude is just amazing...
People like you always jump-start my motivation to keep going regardless of the objective complexity of the subject!
Thanks and you just earned a new subscriber!
Thanks for taking the time to do this!
Big up :)
hey jabrill first year computer science student LOVE your channel btw.
I'd love for you to get into the code, maybe as a side series or even another channel when you inevitably get big. much love keep it up.
I'm working on something. Hopefully I can get it out soon. Thanks for the support john.
- Jabril
This is the best video for someone that knows nothing about machine learning. Thank you
Now i finally understood "Silence speaks better than words...." 😂👌❤
I love how you act what you talk, this format is so unique. LOVE IT, also the content is gold. Thank you Jabrils!
I started with basic, then worked my way up to data exploratory analysis (numpy, pandas, seaborn, matplotlib, etc. ), then I started going into machine learning and found myself going back and forth between statistics and coding. Yeah.. You need strong foundation in math, otherwise, you wouldn't know how to optimize your model to get the best possible prediction. That's my 2 cents.
I've learnt python well and have a good grasp on the math. Now what
I like this approach. Isolate what confuses you, learn it, then move on.
Nice, you make me feel more confident about this stuff.. Yes it still looks like a mountain, but your whole message is that anything is doable one bite at a time. Thanks for that! So encouraging!
I am glad to help adam!
- Jabril
Updating resume to include Machine Learning 9 months experience, cheers mate.
Woah, this video was epic! I think the work you're doing here is really important.
I try to stop myself from slipping into the ol' Zarg langauge on the daily, glad to know I'm not alone in our fight! I think they have some sort of brain infiltration device or something.
Whoa. The LogicGod himself giant_neural_network. Thanks for stopping by man, without your beautiful breakdown series, I don't think this video would exist! 😀 - Jabril
Jabrils No way, I’m glad to be just a small part of it. This stuff is perpetually interesting and you make it even more so... glad to have found your channel! With that said I’ll end this sickening love session and just say I look forward to more of your ml projects!
I remembered this comment when I came across this article en.wikipedia.org/wiki/Curse_of_knowledge Cool to know there's a whole wiki page devoted to it lol.
ua-cam.com/video/-SdyFenqT7c/v-deo.html
Easy way to understand what is neural network
For anyone that wants to start learning, there are lectures on youtube on deep learning and neural networks taught by professors at MIT that I've found very useful to understand the concepts and the lingo used
look for: MIT 6.S191
I started with AndrewNg (Best Course for me!) then go for Jeremy Howard - Deep Learning for Coder (Taught me how to code neural net) and the read Kaggles Notebooks written by others...
Aasim Baig Kaggle is a pretty cool site, I haven't explored it completely but I subscribed to their newsletters and they have pretty interesting data manipulation contests. You can see the community's submissions and some explain their Python code pretty well. It works to see real use cases which is more helpful than watching someone just keep writing code nonstop on video.
"Have you considered taking a course in machine learning at udemy?" These ads man... Smarter every day.
I'm so happy i found this video and your channel! This was so useful for me, I thought I was the only one who felt Andrew Ng was speaking Zarglar after the first couple of modules. You've inspired me to try again with the try-get stuck-research and repeat method. Thanks!
I researched neural networks a few months ago and I read something about needing to use the derivative of the activation function you're using and I knew no calculus at the time. So I started studying calculus and I think I got a little too carried away, because now in my free time I just do calculus instead of computer science. Watching this video made me realize this, and I'll go back to researching neural nets now :D
Glad to see other poc in the ML/DS space. Keep it up ✊
We're coming up✊🏽🙌🏽all love here
This video just justified all the mathematics that schools teach for Comp Sci degrees. Matrix multiplication, Summation = College Algebra. Derivatives = Calculus. Nice video, thanks!
Please have a Zarglar desk figure made, so we can buy it to support you and remind us that it's simply something we will have to go to battle against. Your videos are a masterpiece. Thanks!
What's Zarglar?
I can't help but feel that the way
Jabrils types things on his computer is by just making general gestures towards his keyboard, and the words appear on the screen.
this channel should have more subscribers
try that
This may be the best UA-cam tutorial ever. Making the process of learning this entertaining is fantastic. I had to go about it in the same way, and I *wish* there had been a video like this years ago... Sending this to my son. Thanks!
Mr. Jabrils. I did what you said and I create a NN to detect contrast on an RGB input. Took me a few hours once I understood concepts of feed forward and backward propagation. First issue I had was the inputs I gave it (0-255) did not work with a sigmoid so I had to normalize the inputs x/255 and everything worked out!
Yo I am yell at the wall YES! I am proud of you DDSTAR! KEEP GOING!
- Jabril
how did u train it?
I am really struggling with all these jargon right now, and was honestly starting to feel really discouraged. Listening to you talk about your own struggles with ML when you started out made me feel much better and made me hopeful that someday I'll be able to do it too. Now I'm ready to dive back in headfirst into the struggle!
Wow, and I thought my math teacher (on the high-school) talks about something what I will never need! xO
All of this math stuff we have handled.
I just found a channel that I'll probably be addicted to for the month.
I love your video editing Style. Great video.
Man you an absolute madman. You did know little about math and you got into the mud like a true soldier ahahaha. Thats it guys its just about trying and resilience
Love your channel, you are the first youtuber in a long time that has inspired me and at the same time made me hit the like/sub/notif bell 😂
I created my own machine learning network from scratch through a 12-byte code tester and it sequentially will figure out every code that is valid or invalid within a few seconds through a basic algorithm that many people use to solve Sudoku puzzles.
“The League of Legends Open AI” Triggered!
True man xd
triggered because dota can never be as good as league? or, the other way around lol...
@@bierzuip7169 OpenAI have chosen dota because its waaaaaay more complex than lol. If you try to argue which one is better like a 12 y old then maybe you are not mature enough to understand that nowadays these are two totally different games.
@@Kolano666 They aren't... The greed consumes Dota, that's it, i played the game from the start for five years, and in Second seasson of league i quit dota...
League constantly grab the players of moba, in certain way, dota becames footsal, and lol football, but just in terms of popularity, cause the main function is the same...
Diferent moba is the blizzard one, Smite, Dota and Lol are even...
Just because they are lazy and stuborn, the icefrog don't give, blizzard don't give, so neither of them win (Just a few who quit icefrog and start league project).
@@davidchristenes9062 Dota>lol for all eternity, dota is just way ahead of lol in almost every category, no debate
This video makes machine learning seem super fun and doable, I might check it out
Thanks for this video! :)
This guy is a real fraud.
salve FV
This has to be one of the first times I've seen somebody say "you're gonna need to learn some maths". Great video!
good thing im a cse student so i know all that, meaning i can start learning ml
lucky me !
Dude I found out about your channel about a week ago and I'm already hooked on Machine Learning! Keep up the good work and keep that chill vibe you got going on.
Thank you. I think my education goes well with ML or AI. I got a degree in psychology (neurobiology focus), math and CS. Just started pursuing python once more to go into data science
Hands down best computer programming UA-cam channel ever.
i just discovered your channel, u r great dude!
You just made machine learning feel like front-end development... THANK YOU
2:37 had me dying lmao
Already know this is gonna be a long journey but I'm READY
Great video Jabrils! I am also learning machine learning online right now. But I am coming from a heavy math background, but not as strong programming background. Personally for me learning by teaching works best. So I am putting up tutorial detailed jupyter notebooks on my Github for the topics I learn.
Yeah I agree with you there, & obviously I have never walked the path, but I Think you should have an easier time coming from Math > CS. Best wishes!
- Jabril
Yahh! Hamad Coming from Math > CS is relatively easy. If you are passionate, you are definitely gonna rock. I am from CS > Math background, trust me it is really harder than that. But in the end all struggle pays out, now I am a Data Scientist, hoping to learn new things from every one of you near future. Jabril, you are one of the best youtuber for your unique way of presentation. Good luck buddies, keep shining.
- Shaon
ua-cam.com/video/-SdyFenqT7c/v-deo.html
Easy way to understand what is neural network
Wow! I love how you picked learning one thing after the next wherever it was needed, critical skill for the 21st century. Respect!
You're awesome and inspiring. I love your style. Keep it up!
I took the same quiz as yours in Khan Academy and the topic was ridiculously easier than I thought!
My thoughts exactly!
- Jabril
This video is super helpful I really appreciate you putting the time into making it.
Can I just say that your way to present your content is freaking amazing! I'm mad that I just found your channel. You’re great man!
i love your attitude towards learning new things! taught me a lot
giant neural networks channel is really great, the animation is simply to understand why nam do san could make machine learning model
2:35 he was the first to make it to Area 51! :O
Yo, you're a charismatic guy. You're doing great. Keep it up. I really enjoy your videos. Theyre inspiring me to try my hand at machine learning to automate my house.
"Mr Stark, I don''t wanna go" 6:07
This is why I'm happy you exist
I’m so glad I found you!
I'm so glad to have your support!
- Jabril
broo I've been trying to learn ML and this is so fukin relatable lmao
you're hilarious
Wow, I didn't know I could get messages from telepathic people over the internet.
This dude doesn't move his mouth to talk once, He Only Chews!
You are probably not an engineer or CS major. I really respect your curiosity to learn the math from scratch.
So i wanna know how to get started with ML...
Me:
*YES!*
Learning about learning machine learning can't get more fun than this! Keep it up bro :D
Iam so happy,I just found u r video this is really helpful to me,I watched many videos of neural networks & machine learning,how to begin ,how to learn, everything is bored me but u r video is osum ...,when u started ml ..I did same. As u ,but now I can do .. I know how &where to start ..I know but it's take more time ..I can't leave without like/sub ...u r rocking man..
Your the reason I’m pushing myself to finally learn to program man
You make it look easy and simple and your style of doing things is inspiring to me!
Thank you Jabrils!
My first time seeing him moving his lips as he talked
when?
Watched your channel for the first time and felt in love with it!!!
Wow, many of the the maths he was talking about is being taught to us in intermediate School in my country...
Machine learning is extremely dense in calculus (calculus 2 and 3 mostly) and matrix/ linear algebra. If you’re taking a computer science in college, taking the extra step to take those classes on the side if not already can def help you grasp the fundamentals.
arlanzotoxic knowing stats can’t hurt either, and linear algebra is good for any field- the applications are everywhere.
i'm a computor
help is on the way.
- Jabril
Anything they say can't be done, will be done. Great video
So, let's wrap it up :
Step 1: Learn math as you go (With the right resources and practice it's a lot easier than you think)
Step 2: Learn programming starting preferably with Python or R
Step 3: Eat a lot of sweets (candies, chocolate bars, etc...)
Step 4: Practice with tangible and useful projects from day 1
Step 5: Teach what you've learned to others to keep it sharp and make sure you are actually understanding what you do
Step 6: Subscribe to Jabrils to stay informed, challenged and keep leveling up your ML Skills
Great to know this video is made for people that are not in college.
Aa someone with a math background I feel so lucky hoho
You don't exactly need to be from a math background, matrix multiplication is basics 10th grade math and statistics and regression is taught in every engineering college
@@sharathnair1702 yes but engineering has a strong mathematical background. Some other degrees don't
@@sharathnair1702 i don't think anybody knows what a sigma sum is before they enter university
@@gilfhunter42069 Asians does!
I have no idea what I'm doing here but I loved this video.
Zarglar looks like my sleep-paralysis demon ngl.
What's Zarglar?
if a guy who doesnt know what sigma means in mathematics can learning machine learning, than I sure as hell can. Thank you for inspiration.
you and me both had the same inspirations you went forward and i was laughing at Elon musk smoking weed
Man you truly opened my eyes to ML. Great video.
2:36, UA-cam's AI is better than I thought. It knows zarglar!
Idk why but today I felt really discouraged in my education and this video calmed me down.
How you don't have diabetes by this point is beyond me...
I have no idea how to program but I was impressed with the quality of your videos. Here’s a sub man.
So.... 100k = speaking reveal? Is the person talking even the person on camera?
WE ask the questions that matter
speaking reveal at 100K!
- Jabril
I don't typically like or dislike videos, but I felt like you did a phenomenal job at making learning ML approachable. Nice work :)
@2:24 DID HE ACTUALLY GOOGLE "GOOGLE.COM"??
please make a series about step bye step about machine learning