Dimensionality Reduction - The Math of Intelligence #5

Most of the datasets you'll find will have more than 3 dimensions. How are you supposed to understand visualize n-dimensional data? Enter dimensionality reduction techniques. We'll go over the the math behind the most popular such technique called Principal Component Analysis.

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[Saad-mhrb]

i am a prodigy machine learner with python and scikit learn and 16 year old boy
i learned more in this video about dimension reduction than i could possibly learn in hours
i am now on way to reduce dimensions of my data and improve the accuracy
thanks siraj sir
i really appreciate that u r posting educational content free of cost
allah bless you

[winviki]

This is easier to understand if you're already familiar with PCA.
This video is a summary of what i've learnt in dimensionality reduction, Thanks Siraj.

[concernedcitizen]

I am pausing this just to laugh at all the pictures and side stuff. This is so informative and fun. What a refreshing surprise as I am trying to research this.

[scyfris]

As someone who has worked with high-dimensional data classification, I can say that PCA is a truly powerful technique, and not at all that complicated.

[Jeetesh]

I am working on my FYP on recommender systems and I was using SVD for reducing dimensions.Thanks for exposing me to PCA and the fact that how this field is breakthroufh worthy...keep up the work..#Respect

[newtonisaacma]

Right on time Siraj ! Just learning PCA and dimensional reduction and here you are explaining it clearly . Thanks

[tex]

Thank you Siraj. I am an engineer from an other field. Your work helping me a lot to widen my perspective.

[qhkmdev]

Oh my, why did i discover your channel only now?! What an amazing content and approach to teaching! Love it! Keep up the good work.

[poojawalavalkar]

This by far the simplest and THE BEST explanation of PCA on the internet!!! Thanks Siraj!! :)

[dec]

keep the flavor and flourishes. it's probably why i'm subscribed. there's reading material and other sources for the dry stuff.

[ivangutierrez]

One more amazing video from Siraj. I love this content !!!

[LostInEchoesFin]

That looks like a 3blue1brown screengrab, did you site your sources Siraj???

[cominup]

enjoy your videos. Nice to see a wee regional link to the UK with your data. Hope you keep posting.

[rougegorge]

Stay the same Siraj, very inspirating creation and creator

[vinayaknigam]

Thanks just got demystified for me grt video

[dannychan]

Awesome video, keep up the great work Siraj!

[tylerstannard]

Thanks for your content Siraj! It is both informative and entertaining. The videos have improved dramatically as well.

Could you make a video comparing and contrasting some of the different neural networks? Especially convolutional neural nets versus deep nets versus artificial nets.

[scyfris]

The use of memes is strong with this one.

[anubhavsood]

The python code you have used is from a YouTuber bhavesh bhatt's code.

[rickmonarch]

6:01 is from Eugene. :D credit her too. Great explaination though. thx