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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Cloud
Shobha
The best way to predict the future is to invent it
What is data normalization, and why is it important in machine learning?
RELATED INTERVIEW QUESTIONS
What are semantic networks, and how are they used in knowledge extraction from text?
What is the bootstrap method, and how is it used for confidence interval estimation?
What are active learning methods, and when would you apply them in data analytics?
Explain the concept of reinforcement learning and its applications in analytics.
How would you perform data aggregation for summarizing large datasets?
What is the difference between a Data Lake and a Data Warehouse, and when would you use each in analytics?
What is time-series analysis, and what techniques do you use for it?
How does regularization help to reduce overfitting in machine learning models?
How do you apply Shannon entropy in data analytics for feature selection?
What is Principal Component Analysis (PCA) used for in data reduction?
How does dimensionality reduction improve the performance of machine learning algorithms?
How do you handle missing data in large datasets using imputation techniques?
How does feature scaling improve the convergence of gradient descent algorithms?
How do you use clustering for market segmentation in customer analytics?
How would you evaluate the performance of a recommendation system?
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