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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
Explain the concept of Markov Chains and its use in data modeling.
What is time-series forecasting, and how do you handle seasonality in models?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
What is the role of natural language processing in analyzing customer feedback?
What is the significance of the ROC-AUC score in evaluating classification models?
What is the significance of A/B testing in optimizing data-driven decisions?
How do you interpret the results of cluster analysis in market research?
What are the different types of feature engineering methods and how do they impact model performance?
Explain how you would approach feature engineering for a time-series dataset.
How does feature scaling improve the convergence of gradient descent algorithms?
What is stratified sampling, and when should it be used in machine learning?
What is the importance of using dropout in deep learning models?
Explain the role of backpropagation in training neural networks.
How do you evaluate the predictive accuracy of a machine learning model?
How do you perform unsupervised learning for customer segmentation?
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