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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 gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
RELATED INTERVIEW QUESTIONS
What are the advantages of support vector machines (SVM) in classification tasks?
What are autoencoders, and how are they used in unsupervised learning tasks?
How do you handle high-cardinality categorical features in machine learning models?
How do you use data augmentation to improve a deep learning model’s performance?
What is Boosting in machine learning, and how does it work?
Explain the role of backpropagation in training neural networks.
What is the difference between bagging and boosting, and how do they impact model performance and accuracy?
How do you select the best machine learning model for a given dataset?
What is the concept of feature extraction in computer vision?
What are deep learning and its key differences from traditional machine learning methods?
What is data anonymization, and why is it essential in data analytics?
How would you implement a recommendation engine for movies using collaborative filtering?
How do you ensure that your analysis is unbiased when working with large datasets?
What are the best practices to ensure model interpretability and explainability?
What is the importance of heteroscedasticity in regression models?
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