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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are the key differences between machine learning and deep learning models?
RELATED INTERVIEW QUESTIONS
What is XGBoost, and how does it differ from other boosting algorithms?
Explain the concept of bias-variance tradeoff in machine learning.
What is the difference between classification and regression problems in analytics?
What is Collaborative Filtering, and how is it used in building recommendation systems?
What is the accuracy paradox and how does it affect model evaluation?
How do you ensure that a machine learning model is interpretable for non-technical stakeholders?
What is gradient boosting and why is it more effective than traditional decision trees?
Explain how latent variable models work in data analytics.
How do you perform A/B testing for evaluating the performance of a new marketing campaign?
What are the challenges in analyzing big data, and how do you mitigate them?
How do you evaluate the effectiveness of a recommendation system?
What is the role of Markov chains in predictive analytics for customer behavior?
What are the differences between bagging and boosting in ensemble methods?
How do you use bootstrapping in model evaluation, and what are its advantages?
What are the types of biases in data analysis and how can they be minimized?
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