ML Knowledge

Explain advantages and drawbacks of SVM.

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Explain advantages and drawbacks of SVM.
Can you outline the benefits and limitations of SVMs?
What strengths and weaknesses does the SVM algorithm have?
How do you weigh the advantages against the disadvantages of SVM in machine learning?
What do you see as the positive and negative aspects of employing SVMs?
Could you discuss the favorable and less favorable features of Support Vector Machines?
In what scenarios are SVMs advantageous, and when do they fall short?
What makes SVMs a preferred choice in some cases, and what are their shortcomings?
Can you detail the advantages and potential pitfalls of applying SVM in various data scenarios?
What are the pros and cons of using Support Vector Machines in classification tasks?

Interview question asked to Data Scientists interviewing at Klarna, Tinder, Blizzard and others: Explain advantages and drawbacks of SVM..