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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 advantages and disadvantages of using deep learning for structured data analysis?
RELATED INTERVIEW QUESTIONS
What is the role of unsupervised learning in anomaly detection?
What is the curse of dimensionality and how does it affect machine learning models?
How do you handle high-dimensional data and reduce the risk of overfitting?
What is Principal Component Analysis (PCA) used for in data reduction?
What are the benefits of using cloud analytics over on-premise solutions?
Explain how an ensemble learning method like Random Forest improves model performance.
How would you perform outlier detection using Isolation Forest?
How do you perform outlier detection using machine learning techniques?
What is stratified sampling, and when should it be used in machine learning?
What are the primary steps involved in preparing data for a machine learning model?
What are the best practices to ensure model interpretability and explainability?
How do you implement automated machine learning (AutoML) tools in your workflow?
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
Explain the Naive Bayes algorithm and its application in data analytics.
What is the difference between batch normalization and layer normalization in deep learning?
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