Upload date
All time
Last hour
Today
This week
This month
This year
Type
All
Video
Channel
Playlist
Movie
Duration
Short (< 4 minutes)
Medium (4-20 minutes)
Long (> 20 minutes)
Sort by
Relevance
Rating
View count
Features
HD
Subtitles/CC
Creative Commons
3D
Live
4K
360°
VR180
HDR
2,215 results
kernel ridge regression
support vector machine python
kernel pca
kernel regression
gaussian kernel
kernel trick
statquest machine learning
hinge loss
support vector regression
support vector machine math
Support Vector Machines are one of the most mysterious methods in Machine Learning. This StatQuest sweeps away the mystery ...
1,670,133 views
6 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: ...
414,020 views
SVM can only produce linear boundaries between classes by default, which not enough for most machine learning applications.
389,229 views
3 years ago
327,836 views
This video is part of the Udacity course "Introduction to Computer Vision". Watch the full course at ...
70,568 views
10 years ago
Some parametric methods, like polynomial regression and Support Vector Machines stand out as being very versatile. This is due ...
202,282 views
7 years ago
Learn how kernel density estimation (KDE) works with a simple exam score example. We'll explore how statisticians use kernels, ...
8,804 views
3 months ago
Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=cdiD-9MMpb0 Please support this podcast by checking out ...
1,099,069 views
SVM playlist: https://www.youtube.com/watch?v=Ham_XKCPR8Y&list=PLLCGSi_WZBNeMfLavsJdhQAf9_K-0DevT This series of ...
24,762 views
5 years ago
Non-clickbait title: The supremacy of the MLE. This video is a video about maximum likelihood estimation, a method that powers ...
193,948 views
9 months ago
This is the first lecture of the class on kernel methods for machine learning given in the MOSIG/MSIAM master program of ...
24,341 views
4 years ago
This video gives a brief, graphical introduction to kernel density estimation. Many plots are shown, all created using Python and ...
162,199 views
With linear methods, we may need a whole lot of features to get a hypothesis space that's expressive enough to fit our data -- there ...
28,918 views
Updated version: https://youtu.be/TxB-rbrXMys We describe two nonparametric techniques to estimate probability densities from ...
6,516 views
ROC (Receiver Operator Characteristic) graphs and AUC (the area under the curve), are useful for consolidating the information ...
1,833,237 views
Words are great, but if we want to use them as input to a neural network, we have to convert them to numbers. One of the most ...
514,723 views
2 years ago
All Machine Learning algorithms intuitively explained in 17 min ######################################### I just started ...
1,676,049 views
1 year ago
The kernel trick enables machine learning algorithms to operate in high-dimensional spaces without explicitly computing ...
18,844 views
8 months ago
Kernel Methods - Extending SVM to infinite-dimensional spaces using the kernel trick, and to non-separable data using soft ...
229,918 views
13 years ago
1.56M subscribers
2-Minute crash course on Support Vector Machine, one of the simplest and most elegant classification methods in Machine ...
848,630 views
This video is part of the Udacity course "Supervised Learning". Watch the full course at https://www.udacity.com/course/ud726.
37,318 views
9 years ago
One of the fundamental concepts in machine learning is Cross Validation. It's how we decide which machine learning method ...
1,376,088 views
This video is part of an online course, Intro to Machine Learning. Check out the course here: ...
126,915 views
All about Kernel Density Estimation (KDE) in data science. Fish Icon: ...
56,732 views
Random Forests make a simple, yet effective, machine learning method. They are made out of decision trees, but don't have the ...
1,373,562 views
