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352,290 results
kernel ridge regression
kernel matrix
kernel pca
what is a kernel
kernel regression
gaussian process regression
gaussian kernel
kernel density estimation
linux kernel
cross validation
gaussian mixture model
decision tree machine learning
principal component analysis
kernel methods statquest
naive bayes
adaboost
k-nearest neighbors
radial basis function
SVM can only produce linear boundaries between classes by default, which not enough for most machine learning applications.
389,168 views
3 years ago
The kernel trick enables machine learning algorithms to operate in high-dimensional spaces without explicitly computing ...
18,826 views
8 months ago
This video is part of the Udacity course "Introduction to Computer Vision". Watch the full course at ...
70,565 views
10 years ago
Some parametric methods, like polynomial regression and Support Vector Machines stand out as being very versatile. This is due ...
202,260 views
7 years ago
This video is part of an online course, Intro to Machine Learning. Check out the course here: ...
126,914 views
*Related Videos* ▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭ The Kernel Trick: https://youtu.be/N_RQj4OL1mg ...
9,768 views
La régression et la classification linéaire, parfois, ça ne marche pas. Quand c'est le cas, il existe une astuce pour garantir le fait ...
53,805 views
Abonnez-vous à la chaîne afin de me soutenir, grâce à votre abonnement vous allez faire grandir cette chaîne et me permettre de ...
1,924 views
... problem 28:48 Apply kernels 28:56 Kernel trick 31:45 A kernel function 33:56 No free lunch theorem 34:40 Example of kernels ...
240,250 views
5 years ago
Kernel Methods - Extending SVM to infinite-dimensional spaces using the kernel trick, and to non-separable data using soft ...
229,913 views
13 years ago
Moving from support vector machines, we discuss the kernel trick using higher dimensions to make our classification Notebook(s) ...
35 views
6 years ago
See a new version of this video in HD: https://youtu.be/OdlNM96sHio A visual demonstration of the kernel trick in SVM. This short ...
478,558 views
18 years ago
While EDMD is a powerful method for approximating the Koopman operator from data, it has limitations. A major drawback is that ...
1,178 views
9 months ago
A backdoor into higher dimensions. SVM Dual Video: https://www.youtube.com/watch?v=6-ntMIaJpm0 My Patreon ...
94,119 views
4 years ago
What is Kernel Trick in Support Vector Machine | How Kernel Trick works in SVM in Machine Learning by Mahesh Huddar In ...
127,031 views
2 years ago
A visual demonstration of the kernel trick in SVM. This short video demonstrates how vectors of two classes that cannot be linearly ...
33,033 views
... understanding the Kernel Trick: https://blog.statsbot.co/support-vector-machines-tutorial-c1618e635e93 For a complete index of ...
1,669,945 views
This video presents the kernel trick for SVM. This kernel trick allows to address underfitness of linear classifiers. Speaker and ...
5,352 views
9 years ago
Support Vector Machines use kernel functions to do all the hard work and this StatQuest dives deep into one of the most popular: ...
413,973 views
Each video is based on the corresponding subsection in my notes posted at ...
518 views