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Top 27 Unsupervised Learning Interview Questions

Entry Junior Mid Senior Expert
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Unsupervised Learning Theoretical Questions

Q1:   

What are some common Machine Learning problems that Unsupervised Learning can help with?

  Related To: Feature Engineering
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Q2:   

What are some applications of Unsupervised Learning?

  
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Q3:   

Give a real life example of Supervised Learning and Unsupervised Learning

  Related To: Supervised Learning
Add to PDF   Junior 
Q4:   

How Principal Component Analysis (PCA) is used for Dimensionality Reduction?

  Related To: Dimension Reduction, PCA
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Q5:   

What is the difference between Supervised Learning and Unsupervised Learning?

  Related To: Supervised Learning
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Q6:   

What is the difference between KNN and K-means Clustering?

  Related To: Classification, Supervised Learning, K-Means Clustering
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Q7:   

What is the Curse of Dimensionality and how can Unsupervised Learning help with it?

  Related To: Curse of Dimensionality, Dimensionality Reduction
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Q8:   

How can Neural Networks be Unsupervised?

  Related To: Autoencoders, Neural Networks
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Q9:   

What is the difference and connection between Clustering and Dimension Reduction?

  Related To: Clustering, Dimensionality Reduction
 Add to PDF   Mid 
Q10:   

What’s the LDA algorithm? Give an example.

  
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Q11:   

What are some advantages of using LLE over PCA?

  Related To: PCA, Dimensionality Reduction
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Q12:   

How does K-Means perform Clustering?

  Related To: K-Means Clustering
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Q13:   

What is the difference between the two types of Hierarchical Clustering?

  Related To: Clustering
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Q14:   

Describe the approach used in Denoising Autoencoders

  Related To: Autoencoders
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Q15:   

What are some differences between Unsupervised Learning and Reinforcement Learning?

  
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Q16:   

What is the difference between Supervised and Unsupervised learning?

  Related To: Supervised Learning
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Q17:   

How is it possible to perform Unsupervised Learning with Random Forest?

  Related To: Random Forest
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Q18:   

What are some differences between the Undercomplete Autoencoder and the Sparse Autoencoder?

  Related To: Autoencoders
 Add to PDF   Senior 
Q19:   

Explain how a cluster is formed in the DBSCAN Clustering Algorithm

  Related To: Clustering
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Q20:   

What are the main differences between Sparse Autoencoders and Convolution Autoencoders?

  Related To: Autoencoders
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Q21:   

How is PCA used for Anomaly Detection?

  Related To: Anomaly Detection, PCA
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Q22:   

Can you use Batch Normalisation in Sparse Auto-encoders?

  Related To: Autoencoders
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Q23:   

Explain the Locally Linear Embedding algorithm for Dimensionality Reduction

  Related To: Dimensionality Reduction
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Q24:   

Why does K-Means have a higher bias when compared to Gaussian Mixture Model?

  Related To: Clustering
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Q25:   

How to tell if data is clustered enough for clustering algorithms to produce meaningful results?

  Related To: Clustering, K-Means Clustering
 Add to PDF   Senior 
Q26:   

How do you choose between Supervised and Unsupervised learning?

  Related To: Supervised Learning
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Q27:   

Are GANs unsupervised?

  
 Add to PDF   Expert 
 

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