Sunday, December 22, 2024
Latest:
Videos

Mathematics of Machine Learning

Artis Modus



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

Please Subscribe! And like. And comment. That’s what keeps me going.

Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology
instagram: https://www.instagram.com/sirajraval

Sign up for the next course at The School of AI:
http://theschool.ai/

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

Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/

And please support me on Patreon:
https://www.patreon.com/user?u=3191693
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w

Source

Similar Posts

43 thoughts on “Mathematics of Machine Learning”

  3. 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. 🙂 🙂

  4. 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.

  7. 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 + ?

  14. 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 ?

  17. 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 ??

  23. 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..

  25. 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!

  29. 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.

  42. 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

Comments are closed.

WP2Social Auto Publish Powered By : XYZScripts.com