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Explain advantages and drawbacks of SVM.

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Behavioral
  • 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..