New User Exclusive Offer
Recieve an Alibaba Cloud Certificate for 0.01USD
Alibaba Cloud Official Certificate
Operate and Manage a Cloud Server
$10.00 USDLearn more
SVM (Support Vector Machine) is among the best “off-the-shelf” supervised learning algorithms which can be used for both regression and classification tasks. It is widely used in classification objectives. A Support Vector Machine (SVM) is a discriminative classifier formally defined by a separating hyperplane. In other words, given labeled training data (supervised learning), the algorithm outputs an optimal hyperplane which categorizes new examples. In two dimentional space this hyperplane is a line dividing a plane in two parts where in each class lay in either side. This course introduces the basic concepts of SVM as well as how to use Alibaba Cloud Machine Learning Platform for AI to apply SVM.
This training is for people who have machine learning and database experience.
How to get Certified
Certification:Apsara Clouder - Big Data: Support Vector Machine Implementation Through PAI
Registration Fee:USD 10.00
Support Vector Machine Implementation Through PAI
Through this course, you will learn what is SVM (Support Vector Machine), and how to use Alibaba Cloud Machine Learning Platform for AI to implement SVM.
- SVM (Support Vector Machine) — TheoryⅠ
- SVM (Support Vector Machine) — TheoryⅡ
- SVM (Support Vector Machine)— Application Demo on PAI