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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What is reinforcement learning, and where is it applied in business analytics?
RELATED INTERVIEW QUESTIONS
What is the significance of hyperparameter tuning in optimizing machine learning models?
Explain the concept of reinforcement learning and its applications in analytics.
What are LSTM networks, and how do they handle sequential data?
How do you deal with skewed data in regression models?
What is data streaming, and how is it used for real-time analytics?
How do you select relevant features from a dataset to improve model accuracy?
What is the role of Bayesian methods in data analytics, and how do they compare to frequentist approaches?
What are the different types of feature engineering methods and how do they impact model performance?
What is the difference between correlation and causality?
What is the difference between batch normalization and layer normalization in deep learning?
What is the role of Natural Language Processing (NLP) in data analytics?
How do you evaluate the stability of a clustering algorithm over different datasets?
What are the different methods for handling missing data in datasets?
What is the difference between parametric and non-parametric tests in hypothesis testing?
What is the accuracy paradox and how does it affect model evaluation?
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