Why Kernels - Practical Machine Learning Tutorial with Python p.30

Channel:
Subscribers:
1,410,000
Published on ● Video Link: https://www.youtube.com/watch?v=xqg5S-GrrDQ



Category:
Tutorial
Duration: 21:19
53,409 views
513


Once we've determined that we can use Kernels, the next question is of course why would we bother using kernels when we can use some other function to transform our data into more dimensions. The point of using Kernels is to be able to perform a calculation (inner product in this case) in another dimension without actually needing to work in that dimension.

https://pythonprogramming.net
https://twitter.com/sentdex
https://www.facebook.com/pythonprogramming.net/
https://plus.google.com/+sentdex




Other Videos By sentdex


2016-07-01Mean Shift with Titanic Dataset - Practical Machine Learning Tutorial with Python p.40
2016-06-29Mean Shift Intro - Practical Machine Learning Tutorial with Python p.39
2016-06-22K Means from Scratch - Practical Machine Learning Tutorial with Python p.38
2016-06-20Custom K Means - Practical Machine Learning Tutorial with Python p.37
2016-06-11K Means with Titanic Dataset - Practical Machine Learning Tutorial with Python p.36
2016-06-10Handling Non-Numeric Data - Practical Machine Learning Tutorial with Python p.35
2016-06-07Clustering Introduction - Practical Machine Learning Tutorial with Python p.34
2016-06-02SVM Parameters - Practical Machine Learning Tutorial with Python p.33
2016-06-01Soft Margin SVM and Kernels with CVXOPT - Practical Machine Learning Tutorial with Python p.32
2016-05-31Soft Margin SVM - Practical Machine Learning Tutorial with Python p.31
2016-05-30Why Kernels - Practical Machine Learning Tutorial with Python p.30
2016-05-29Kernels Introduction - Practical Machine Learning Tutorial with Python p.29
2016-05-28Completing SVM from Scratch - Practical Machine Learning Tutorial with Python p.28
2016-05-26SVM Optimization - Practical Machine Learning Tutorial with Python p.27
2016-05-24SVM Training - Practical Machine Learning Tutorial with Python p.26
2016-05-23Creating an SVM from scratch - Practical Machine Learning Tutorial with Python p.25
2016-05-21Support Vector Machine Optimization - Practical Machine Learning Tutorial with Python p.24
2016-05-19Support Vector Machine Fundamentals - Practical Machine Learning Tutorial with Python p.23
2016-05-17Support Vector Assertion - Practical Machine Learning Tutorial with Python p.22
2016-05-16Understanding Vectors - Practical Machine Learning Tutorial with Python p.21
2016-05-13Support Vector Machine Intro and Application - Practical Machine Learning Tutorial with Python p.20



Tags:
kernel
support vector machine
svm
machine learning
tutorial
classification
artificial intelligence
scikit-learn
sklearn
tensorflow