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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
RELATED INTERVIEW QUESTIONS
What is transfer learning, and how is it useful in deep learning?
What is the importance of data privacy in analytics, and how do you ensure compliance?
What are the types of biases in data analysis and how can they be minimized?
What is the role of data governance in an organization’s analytics framework?
What are the advantages and disadvantages of using deep learning for structured data analysis?
How do you handle high-cardinality categorical features in machine learning models?
How do you evaluate model performance when the dataset is small and unbalanced?
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
How does ensemble learning work, and when should it be applied?
How do you perform dimensionality reduction, and why is it essential in machine learning?
What is AdaBoost, and how does it improve the performance of weak learners?
What is time-series forecasting, and how do you approach it using machine learning algorithms?
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
How do you evaluate model robustness to different types of input data?
Can you explain the no free lunch theorem in machine learning and its implications on choosing algorithms for different types of problems?
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