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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How do you apply gradient descent in training deep neural networks?
RELATED INTERVIEW QUESTIONS
How do you deal with large-scale, unstructured data in text analytics?
How do you perform feature engineering in time-series data?
Explain the concept of Markov Chains and its use in data modeling.
What is Collaborative Filtering, and how is it used in building recommendation systems?
What are the challenges of working with unstructured data, and how can they be overcome?
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
Explain how latent variable models work in data analytics.
What is gradient boosting and why is it more effective than traditional decision trees?
What are recurrent neural networks (RNNs), and how do they handle time-series data?
What is the difference between a data pipeline and an ETL pipeline in terms of analytics?
How do you deal with temporal dependencies in time-series forecasting?
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What is the difference between batch normalization and layer normalization in deep learning?
What is the difference between KNN and SVM in classification tasks?
What is the role of data governance in an organization’s analytics framework?
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