Siraj Raval
Do you need to know math to do machine learning? Yes! The big 4 math disciplines that make up machine learning are linear algebra, probability theory, calculus, and statistics. I’m going to cover how each are used by going through a linear regression problem that predicts the price of an apartment in NYC based on its price per square foot. Then we’ll switch over to a logistic regression model to change it up a bit. This will be a hands-on way to see how each of these disciplines are used in the field.
Code for this video (with coding challenge):
https://github.com/llSourcell/math_of_machine_learning
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More learning resources:
https://towardsdatascience.com/the-mathematics-of-machine-learning-894f046c568
https://ocw.mit.edu/courses/mathematics/18-657-mathematics-of-machine-learning-fall-2015/
https://www.quora.com/How-do-I-learn-mathematics-for-machine-learning
https://courses.washington.edu/css490/2012.Winter/lecture_slides/02_math_essentials.pdf
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Excellent video…terrible hair!
The best channel on youtube
Man, this is the video which made me really understand where i am standing (in terms of learning) and what needs to be learnt more. Came as a motivation for me. 🙂 🙂
Your voice audio is horribly irritating to ears. Please use a microphone that's smooth enough. And will make your video's audio quite interesting to listen. Or please lower down the gain of your mic.
Finally 9:53 minutes of satisfaction?
Hi, can anyone help me to understand the differences between classification and time sequential modeling?
it's all great, now.. how do we grasp these fields in a relatively short time frame w/o a degree in Rocket Science 5-7yrs + ?
Thank you for create those video, you make learning AI so much fun and easier!
well.i hate math and.i suck.in it
That was really good..!
Wow??
sentdex
The video was really helpful man. Thanks a ton..
This was better than many, but still its not good for beginners. I means lot of things are not told detail. I might sound totally stupid with below questions, but I am a beginner
Q1. How do you get this pink line at 2:55 ?
Q2. in Y=mx+b, how can X be independent ?
Q3. In this video where specifically you told about the prediction that was made by algorithm we develop , and how we compare it with the correct data ?
awesome
I AM LAZY I JUST WANT THE MONEY.CAN'T I JUST FEED THIS TO A ALGORITHM AND HAVE IT DO THIS
Its the best video for intro.
But I want to learn these for four mathematics concept because I will start learn machine learning within next 4 or 5 days.
Have anyone good and complete MOOC or tutorial about this ??
nooooooooooooooooooooooooooooooo!!!!!!!!!!!!!!!!!!!!!!!
He seems to be a nice and knowledgeable guy but incredibly annoying to me.
Great Video, you have a new subscriber!
thanks Raj.
So this is booring video
Thanks for this video
do i have to remember all this concepts while facing Data Analyst interview…?
any suggestion on how to prepare for data analyst will be helpful..
So degree in Applied Mathematics is the way to go?
Thank you Siraj for the clear, accurate, concise and enlightening overview of machine learning. It answers my most fundamental question that is always on my mind, viz., Why am I doing what I am doing? Thanks again!
Thanks!!!! I really appreciate your video!
Well done!! The demonstration on linear algebra was exactly the visual I was needing to understand the role of LA in machine learning.
sooo…. what are the prices of the apartments?
Hi ! Please, does anybody have any idea how to use artificial neural network to "teach" a self-driving car when to steer, to the left or to the right, by which angle… ?
I’m a beginner in this field, so I chose to work on a very simple model consisting of a car riding on a single-lane road and meeting no obstacles.
What do you suggest as parameters ?
Any suggestion of other simple models is welcome. Thank you in advance.
fuck you this is ever stupid i hard
Machine Learning isn't for me, but great video
Can anyone mention sources to learn math specifically for ML.
Thanks really awesome thank you appreciate the time you're taken to educate and teach and share your knowledge man, thanks bro so awesome!
At 7:40, it should be “multivariable” regression rather than “multivariate” regression because the latter refers to multiple response variables.
well explained.
r u machine man ?
Great video!
6:10 .. I feel you bro .. When you took a pause before saying "bowl"..??.. but yes your videos are great .. entertaining and informative ?
Math is not everything. Actually math is incomplete. Refer to Godel incompleteness theorem…..hahahah
You are excellent! Superb! Graph! Animations ! Easy to understand! I'm wordless!
Well, looks like my path to learning machine learning just got a whole lot longer
Пиздец я хуй теперь пойму что мне делать, никогда не понимал математику, а тут ML и блять опять "математика важна и математика – это весело" . Ааааааа
Siraj you're the best