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2103 Curated Machine Learning, Data Science, AI & LLMs Interview Questions
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Top 19 Bias & Variance Interview Questions

Entry Junior Mid Senior Expert
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Learning Progress:
Bias & Variance Theoretical Questions
Q1:   

What is Bias in Machine Learning?

  Related To: Supervised Learning
Add to PDF   Junior 
Q2:   

What factors contribute to bias in Large Language Models?

  Related To: LLMs
Add to PDF   Junior 
Q3:   

How can bias be mitigated with human-in-the-loop approaches when developing LLMs?

  Related To: LLMOps, LLMs
Add to PDF   Junior 
Q4:   

How can you identify a High Bias model? How can you fix it?

  
Add to PDF   Junior 
Q5:   

What is the Bias-Variance tradeoff?

  Related To: Supervised Learning
Add to PDF   Junior 
Q6:   

What's the difference between Bagging and Boosting algorithms?

  Related To: Classification, Data Processing, Ensemble Learning
 Add to PDF   Mid 
Q7:   

How can you relate the KNN Algorithm to the Bias-Variance tradeoff?

  Related To: K-Nearest Neighbors
 Add to PDF   Mid 
Q8:   

What is the Bias Error?

  Related To: Supervised Learning
 Add to PDF   Mid 
Q9:   

What is the Variance Error?

  Related To: Supervised Learning
 Add to PDF   Mid 
Q10:   

What to do if you have High Bias Problem?

  
 Add to PDF   Mid 
Q11:   

When you sample, what potential Sampling Biases could you be inflicting?

  Related To: Statistics, Data Processing
 Add to PDF   Mid 
Q12:   

What to do if you have High Variance Problem?

  
 Add to PDF   Mid 
Q13:   

How to identify a High Variance model? How do you fix it?

  
 Add to PDF   Mid 
Q14:   

Describe some approaches that can be used to mitigate biases in ChatGPT's responses

  Related To: ChatGPT
 Add to PDF   Mid 
Q15:   

Name some types of Data Biases in Machine Learning?

  
 Add to PDF   Mid 
Q16:   

Provide an intuitive explanation of the Bias-Variance Tradeoff

  
 Add to PDF   Mid 
Q17:   

What are the differences between Content-Based and Collaborative Methods in terms of Bias and Variance?

  Related To: Recommendation Systems
 Add to PDF   Senior 
Q18:   

How Does Adversarial De-biasing Work?

  Related To: LLMOps, LLMs
 Add to PDF   Senior 
Q19:   

How to initialise Weight and Bias in PyTorch?

  Related To: PyTorch
 Add to PDF   Senior 
 
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