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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are convex optimization techniques, and why are they important in machine learning?
RELATED INTERVIEW QUESTIONS
Explain the difference between bagging and boosting techniques.
How do you use data augmentation to improve a deep learning model’s performance?
How does the k-means clustering algorithm work and when should it be used?
What is data streaming, and how is it used for real-time analytics?
How do you prevent model bias in machine learning algorithms?
What is data integrity, and how is it maintained in a database?
What are the advantages and limitations of using SQL vs NoSQL for large-scale analytics?
How do you apply data smoothing techniques for time-series forecasting?
What is time-series analysis, and what techniques do you use for it?
How do you use time-series decomposition to analyze seasonal trends?
What is the difference between deterministic and stochastic models in analytics?
How would you handle an imbalanced dataset in a classification problem?
How do you perform unsupervised learning for customer segmentation?
What is the difference between KNN and SVM in classification tasks?
How does deep reinforcement learning work, and where can it be applied in business analytics?
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