FOR THOSE CONFUSED with x_axis in the 1D case, the reason he sorts them is just to create a general range of x values to plot the gaussians. It has nothing to do with the original x. With his method, yes, there will be multiple (x, pdf(x)) points unnecessarily repeated and plotted multiple times; and that's ok. Another alternative could have been just to find the max and min value within x and then define x_axis = np.linspace(x_min, x_max, num=1000), which creates 1000 divisions from x_min to x_max.
i loved your courses so much.❤❤❤ Thank you veryyyy much sharing your knowledge for free through these course videos. i searched on udemy and couldnt find as much as extensive your one.
Hello dr. Please I have a question about this algorithm. Can I use GMM to segmentation medical images (color images)? Which is better fcm or gmm in color medical image segmentation?
Hi Digitalsreeni ! Nice explanation! I have a similar kind of project subtract the background from the image using the constructed Gaussian Mixture model and required a neural network model. I have my own image data and budget of my project is $100 - $125 USD. Since I dont know much about ml so I need your help. I need this project urgent. Can you do this ? Please suggest me
FOR THOSE CONFUSED with x_axis in the 1D case, the reason he sorts them is just to create a general range of x values to plot the gaussians. It has nothing to do with the original x. With his method, yes, there will be multiple (x, pdf(x)) points unnecessarily repeated and plotted multiple times; and that's ok. Another alternative could have been just to find the max and min value within x and then define x_axis = np.linspace(x_min, x_max, num=1000), which creates 1000 divisions from x_min to x_max.
I feel like implementing everything you share with us, thank you for making me all new stuff. Thank you sir.
Hello Sir!
I am leaving this comment to say that I love your work and have learnt a lot from it.
hello,
thank you for the series.
I was wondering if you plan to do a tutorial on the diffusion model?
i loved your courses so much.❤❤❤ Thank you veryyyy much sharing your knowledge for free through these course videos. i searched on udemy and couldnt find as much as extensive your one.
Is there any tools for modeling stellar images as a mixture of moffat functions?
Thank you sir.
Sir, i am wandering the right way to get dice loss, IOU after postprocessing of segmented images.
Hello dr. Please I have a question about this algorithm.
Can I use GMM to segmentation medical images (color images)?
Which is better fcm or gmm in color medical image segmentation?
I am using GMM for Keypoints, you have any advice to visualisation it?
Nice explanation 👍
Hi Digitalsreeni !
Nice explanation! I have a similar kind of project subtract the background from the image using the constructed Gaussian Mixture model and required a neural network model. I have my own image data and budget of my project is $100 - $125 USD. Since I dont know much about ml so I need your help. I need this project urgent. Can you do this ? Please suggest me
Expecting some stuff on federated learning.
awesome