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8,313 results
Discover how the RBF (Radial Basis Function) kernel works by implicitly mapping data into an infinite-dimensional space to solve ...
9,785 views
8 months ago
The machine learning consultancy: https://truetheta.io Join my email list to get educational and useful articles (and nothing else!)
173,421 views
4 years ago
Briefly explains the Gaussian distribution and why it is so important. * If you would like to support me to make these videos, you ...
169,266 views
5 years ago
SVM can only produce linear boundaries between classes by default, which not enough for most machine learning applications.
389,242 views
3 years ago
Gaussian process regression (GPR) is a probabilistic approach to making predictions. GPRs are easy to implement, flexible, and ...
105,798 views
In this video, we explore Gaussian processes, which are probabilistic models that define distributions over functions, allowing us ...
21,807 views
7 months ago
Image filters make most people think of Instagram or Camera Phone apps, but what's really going on at pixel level? Image Analyst ...
586,254 views
10 years ago
All about Gaussian Processes and how we can use them for regression. RBF Kernel ...
34,522 views
1 year ago
This video is part of an online course, Model Building and Validation. Check out the course here: ...
20,862 views
... Example of kernels 54:13 Kernel matrix 59:16 Gaussian kernel 59:39 The gaussian kernel 1:11:57 Dual form 1:13:35 Examples ...
240,337 views
Learn how kernel density estimation (KDE) works with a simple exam score example. We'll explore how statisticians use kernels, ...
8,807 views
3 months ago
This video is part of the Udacity course "Computational Photography". Watch the full course at ...
136,147 views
A visual trick to compute the sum of two normally distributed variables. 3b1b mailing list: https://3blue1brown.substack.com/ Help ...
916,072 views
2 years ago
The *most powerful* kernel in all the land. SVM Kernels Video: https://youtu.be/OKFMZQyDROI My Patreon ...
40,966 views
Now that we've learned about linear transformations, we can combine this with what we know about vector spaces to learn about ...
259,052 views
6 years ago
Machine Learning Tutorial at Imperial College London: Gaussian Processes Richard Turner (University of Cambridge) November ...
157,866 views
8 years ago
Some parametric methods, like polynomial regression and Support Vector Machines stand out as being very versatile. This is due ...
202,283 views
7 years ago
Smoothing of noisy sensor readings through convolution with a Gaussian kernel.
7,156 views
13 years ago
All about Kernel Density Estimation (KDE) in data science. Fish Icon: ...
56,734 views
Code Review: Create a two-dimensional Gaussian kernel Helpful? Please support me on Patreon: ...
53 views