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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are autoencoders, and how are they used in unsupervised learning tasks?
RELATED INTERVIEW QUESTIONS
What is the role of decision trees in building interpretable machine learning models?
How do you evaluate the stability of a clustering algorithm over different datasets?
How do you ensure that a machine learning model is interpretable for non-technical stakeholders?
What are the key differences between a decision tree and a random forest?
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
What is the importance of heteroscedasticity in regression models?
What are convex optimization techniques, and why are they important in machine learning?
What is overfitting, and how can it be avoided using regularization techniques?
How do you ensure reproducibility in your data analysis pipelines?
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Explain the difference between supervised and unsupervised learning with examples.
What is the role of data governance in an organization’s analytics framework?
What is the ROC-AUC curve, and how do you interpret it?
How would you evaluate and select the best machine learning model for a specific use case?
What is data anonymization, and why is it essential in data analytics?
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