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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is the concept of Feature Extraction in computer vision analytics?
RELATED INTERVIEW QUESTIONS
Explain how hyperparameter optimization improves machine learning model performance.
What is the role of Shannon entropy in feature selection?
What are the key steps in building a robust machine learning pipeline for predictive analytics?
What is an anomaly detection system, and how would you implement it in Python?
How do you optimize an ML model when the dataset is imbalanced?
What are GANs (Generative Adversarial Networks), and what role do they play in data analytics?
How do you perform feature scaling, and what are its benefits in machine learning?
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
What are recurrent neural networks (RNNs), and how do they handle time-series data?
What is the significance of feature importance in decision tree algorithms?
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
How do you optimize machine learning models for real-time decision-making?
What are LSTM networks, and how are they used in sequence prediction tasks?
How does k-fold cross-validation work, and how do you decide on the value of k for a given dataset?
What is gradient boosting and why is it more effective than traditional decision trees?
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