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A kernel is a method of projecting a two-dimensional plane into a higher-dimensional space, so as to make it curved in the higher dimensional space. In layman's language, a kernel is a function that maps data from the low dimensional space into a higher-dimensional space.

Kernel trick is employed to transform non-linear data to linear form. A Kernel Trick is a mathematical way to project non linear data onto a higher dimension space so as to make it easier to classify the data by dividing it linearly in a plane. This is done by using the Lagrangian formula using Lagrangian multipliers.

There are various sources available on the internet for free to learn SVM. Great Learning is an excellent platform that offers free online courses on supervised learning methods including SVM. Medium, Towards DataScience, real python etc. are online websites that give detailed articles on SVM. Github is a great source to get free source code of various implementations of SVM. 

The Support Vector Regression or SVR uses the same principles as the SVM for classification with only a few minor differences. The major difference is that it becomes very difficult to predict the information at hand because the output is a real number. Moreover, the margin of tolerance is set in approximation to the SVM.

Yes, you will get a certificate of completion for Support Vector Machines after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.
 

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Support Vector Machines can get started with this course.
 

Once you enroll in the Support Vector Machines course, you have lifetime access to it. So, you can log in anytime and learn it for free online.
 

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Great Learning Academy provides this Support Vector Machines course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts.

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Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.
 

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to.