Soft Margin SVM and Kernels with CVXOPT - Practical Machine Learning Tutorial with Python p.32
Channel:
Subscribers:
1,410,000
Published on ● Video Link: https://www.youtube.com/watch?v=XdcfJX-mDG4
In this tutorial, we cover the Soft Margin SVM, along with Kernels and quadratic programming with CVXOPT all in one quick tutorial using some example code from:
http://www.mblondel.org/journal/2010/09/19/support-vector-machines-in-python/
Visualizing the conversion of many dimensions back to 2D: https://www.youtube.com/watch?v=3liCbRZPrZA
Quadratic programming with CVXOPT: http://cvxopt.org/userguide/coneprog.html#quadratic-programming
Docs qp example: http://cvxopt.org/examples/tutorial/qp.html
Another CVXOPT tutorial: https://courses.csail.mit.edu/6.867/wiki/images/a/a7/Qp-cvxopt.pdf
https://pythonprogramming.net
https://twitter.com/sentdex
https://www.facebook.com/pythonprogramming.net/
https://plus.google.com/+sentdex
Other Videos By sentdex
Tags:
cvxopt
python
machine learning
svm
support vector machine
kernel
soft margin svm
classification
quadratic programming
artificial intelligence
scikit-learn
sklearn
tensorflow