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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What are gradient descent and its variants, and how are they used in machine learning?
RELATED INTERVIEW QUESTIONS
What is the curse of dimensionality, and how does it impact data analysis?
What are GANs (Generative Adversarial Networks), and what role do they play in data analytics?
What is stratified sampling, and when should it be used in machine learning?
What is the concept of a confusion matrix, and how do you interpret its results in classification models?
How would you apply cross-validation techniques in a deep learning model?
What are the best practices for analyzing real-time data streams?
How do you handle multicollinearity in regression models?
How do you implement feature selection techniques for high-dimensional data?
How would you use cluster analysis for market segmentation?
What is the importance of data privacy in analytics, and how do you ensure compliance?
What is the importance of model interpretability in real-world data analytics applications?
How does regularization help to reduce overfitting in machine learning models?
What are the challenges in analyzing big data, and how do you mitigate them?
How do you apply data augmentation in deep learning for image processing?
How would you evaluate and select the best machine learning model for a specific use case?
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