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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 implement supervised learning for predictive modeling in healthcare analytics?
RELATED INTERVIEW QUESTIONS
How do you implement supervised learning for predictive modeling in healthcare analytics?
What are the differences between LSTM and GRU networks in deep learning?
What are LSTM networks, and how do they handle sequential data?
What is feature selection, and how does it impact the model’s performance?
How do you ensure that your analysis is unbiased when working with large datasets?
What is the learning rate in deep learning, and how do you optimize it?
What is dimensionality reduction, and why is it important in data analytics?
What is deep learning and how is it used for image recognition?
What is XGBoost, and how does it differ from other boosting algorithms?
What are some of the most common causes of overfitting in machine learning models, and how do you mitigate them?
What is the importance of model validation and how do you perform it in practice?
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Explain the difference between bagging and boosting techniques.
What is the difference between deterministic and stochastic models in analytics?
How does deep reinforcement learning work, and where can it be applied in business analytics?
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