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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are deep learning and its key differences from traditional machine learning methods?
RELATED INTERVIEW QUESTIONS
How do you handle outliers in time-series data?
How do you use clustering for market segmentation in customer analytics?
What is linear programming, and how does it relate to data optimization problems?
How do you perform feature engineering in time-series data?
How do you optimize the performance of an algorithm when the dataset size is enormous?
How do you deal with skewed data in regression models?
What is the difference between classification and regression problems in machine learning?
What are the advantages and limitations of using SQL vs NoSQL for large-scale analytics?
How do you apply gradient descent in training deep neural networks?
What are the differences between deep learning and ensemble methods in predictive analytics?
What are the benefits of using cloud analytics over on-premise solutions?
How do you perform dimensionality reduction, and why is it essential in machine learning?
What is data anonymization, and why is it essential in data analytics?
What are the key differences between machine learning and deep learning models?
What is Gaussian Naive Bayes, and when would you use it in classification?
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