What are Gaussian Mixture Models? | Soft clustering | Unsupervised Machine Learning | Data Science

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📊 In this video, we introduce the concept of GMM using a simple visual example, making it easy for anyone to grasp. 💡

🧩 Ever wondered how data can belong to multiple groups simultaneously? That's where GMM comes in! We'll show you the difference between "hard clustering" (traditional clustering) and "soft clustering" (GMM's unique approach), helping you see how GMM can be more flexible in handling complex data distributions. 📈

🧮 And guess what? We won't overwhelm you with technical jargon! We'll keep it clear and straightforward, making GMM accessible to everyone.

🔍 But that's not all! We'll introduce you to the EM (Expectation-Maximization) algorithm, the secret sauce behind GMM. You'll see how EM plays a vital role in iteratively improving GMM's accuracy and how it all comes together to unlock hidden patterns in your data.

By the end of this video, you'll have a solid grasp of Gaussian Mixture Models, their applications, and how EM makes it all possible. 🤓

Happy Learning!

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Thank you sir, my lecturer can't even explain he just dumps random equations on me. At least this gives me an idea!

elitea

Cannot believe this has no comments... One of the best explanations of how Gaussian Mixture Models works so far.

TheDiscoveryIndex

Really what an awesome and outstanding explanation ❤❤. I was searching the whole youtube for getting the intuition of this topic but not got it from anywhere and coming here just got everything I needed. Most of the youtube channels rather than giving the intuition of the topic are jumping right into the complex maths behind it, but the intution explained in this video is extraordinary. Hatsoff to you Sir❤. Thank you once again.

AbhishekSingh-xgzj

this is the best one out of dozens videos i have watched these days

liuj-qm

After hours of searching and learning I didn't even get 1% of GMM but you have explained in 9 mins. Thankyou
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MOHAMMADSAJID-drt

Thanks for sharing best explanations of how Gaussian Mixture Models so far

izb

Thank you for this very clear explanation.

ljohansson

This video so far is the best introduction of Gaussian Mixture models

tllxh

Your video is really helpful. Thank you.

nkapila

Really helpful...I just understand base concept in one go....investing only 5min

arunimadolui

Woww! You explained it so well! Best video to study GMM!

anushkarai

Tomorrow I have my exam the explanation is top notch thnku so much

vishalkarmakar

Thank you. I have one doubt related to random initialization of number of gaussian models. In the above case what would have happens if I choose Gaussian model >=3 as random initialization. Would it converges to 2?

rahultom

Subbed. Thank you. This makes so much sense.

Kaalokalawaia

Questions: How to use fraction point to create new Gaussians, Example lets say we are in 2D with x1=2, y=8 and we find this point belongs to a Gaussian with 60% next how to use What should I do x1 = 2 * .6, y1 = 8 * .6 sort of ?? Please provide clarity on Hypothesis.

kumarvis

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