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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 the common pitfalls when working with real-time data in analytics?
RELATED INTERVIEW QUESTIONS
What are autoencoders, and how are they used in unsupervised learning tasks?
What is the role of data normalization in machine learning?
How do you apply Shannon entropy in data analytics for feature selection?
What is Principal Component Analysis (PCA) used for in data reduction?
Explain how hyperparameter optimization improves machine learning model performance.
How do you use SQL joins in data analytics to integrate data from multiple sources?
How do you evaluate the effectiveness of an outlier detection model?
How do you perform feature importance analysis for model interpretability?
How do you apply data smoothing techniques for time-series forecasting?
What are GANs (Generative Adversarial Networks), and what role do they play in data analytics?
What is linear programming, and how does it relate to data optimization problems?
How do support vector machines (SVM) work, and why are they used in classification problems?
What are the best practices for analyzing real-time data streams?
What is data lineage, and how does it help in tracking data flow?
Explain the role of backpropagation in training neural networks.
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