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Support Vector Machines Part 1 (of 3): Main Ideas!!!

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Support Vector Machines are one of the most mysterious methods in Machine Learning. This StatQuest sweeps away the mystery to let know how they work.
NOTE: This StatQuest assumes you already know about...
For a complete index of all the StatQuest videos, check out:
If you'd like to support StatQuest, please consider...
Buying The StatQuest Illustrated Guide to Machine Learning!!!
...or...
...a cool StatQuest t-shirt or sweatshirt:
...buying one or two of my songs (or go large and get a whole album!)
...or just donating to StatQuest!
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
0:00 Awesome song and introduction
0:40 Basic concepts and Maximal Margin Classifiers
4:35 Soft Margins (allowing misclassifications)
6:46 Soft Margin and Support Vector Classifiers
12:23 Intuition behind Support Vector Machines
15:25 The polynomial kernel function
17:30 The radial basis function (RBF) kernel
18:32 The kernel trick
19:31 Summary of concepts
#statquest #SVM
NOTE: This StatQuest assumes you already know about...
For a complete index of all the StatQuest videos, check out:
If you'd like to support StatQuest, please consider...
Buying The StatQuest Illustrated Guide to Machine Learning!!!
...or...
...a cool StatQuest t-shirt or sweatshirt:
...buying one or two of my songs (or go large and get a whole album!)
...or just donating to StatQuest!
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
0:00 Awesome song and introduction
0:40 Basic concepts and Maximal Margin Classifiers
4:35 Soft Margins (allowing misclassifications)
6:46 Soft Margin and Support Vector Classifiers
12:23 Intuition behind Support Vector Machines
15:25 The polynomial kernel function
17:30 The radial basis function (RBF) kernel
18:32 The kernel trick
19:31 Summary of concepts
#statquest #SVM
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