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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
Explain the difference between supervised and unsupervised learning with examples.
RELATED INTERVIEW QUESTIONS
How would you implement real-time data analytics for fraud detection?
What is the difference between batch processing and streaming in big data analytics?
What are the advantages and disadvantages of using deep learning for structured data analysis?
What is the difference between segmentation and clustering in data analytics?
How do you use SQL joins in data analytics to integrate data from multiple sources?
How would you handle noisy data when training a machine learning model?
Explain how data integrity is maintained in a multi-source data environment.
What are recurrent neural networks (RNNs), and how are they used in sequential data analysis?
What is deep learning and how is it used for image recognition?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
What are the best practices for implementing cloud-based analytics for large-scale datasets?
What are the types of biases in data analysis and how can they be minimized?
How would you measure the impact of an analytics model in a business setting?
What is time-series analysis, and what techniques do you use for it?
Explain the role of backpropagation in training neural networks.
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