ML Knowledge

Can you explain the contrast between bagging and boosting? And what effects do they have on bias and variance?

Machine Learning Engineer

Amazon

Shopify

Optimizely

Bosch

N26

Pinterest

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Behavioral
  • Can you explain the contrast between bagging and boosting? And what effects do they have on bias and variance?
  • Could you differentiate between bagging and boosting, and how they affect bias and variance in supervised learning?
  • What distinguishes bagging from boosting, and how do they impact the bias and variance of a model?
  • Bagging versus boosting- what are the differences, and how do they influence bias and variance in machine learning algorithms?
  • With regards to bagging and boosting in machine learning, could you define the distinction and elucidate how they affect bias and variance?
  • How can you differentiate between bagging and boosting, and what impact do they have on the bias and variance of supervised learning models?
  • What are the contrasts between bagging and boosting techniques in machine learning, and how do they affect the bias and variance of a model?
  • In supervised learning models, what differentiates bagging from boosting, and how do they impact the bias and variance of the model?
  • How do bagging and boosting techniques differ from each other in machine learning, and in what ways do they impact the bias and variance of models?
  • What is the difference between bagging and boosting? What is the bias of bagging? And its variance? What is the bias of boosting? And its variance?

Interview question asked to Machine Learning Engineers interviewing at Pinterest, Shopify, N26 and others: Can you explain the contrast between bagging and boosting? And what effects do they have on bias and variance?.