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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How do you apply gradient descent in training deep neural networks?
RELATED INTERVIEW QUESTIONS
How do you apply Shannon entropy in data analytics for feature selection?
How do you calculate the precision, recall, and F1-score for a binary classification model?
Explain the role of backpropagation in training neural networks.
What are the main differences between batch processing and real-time processing in data analytics?
How do you ensure that a machine learning model is interpretable for non-technical stakeholders?
What are some of the most common causes of overfitting in machine learning models, and how do you mitigate them?
What is the role of decision trees in building interpretable machine learning models?
What are the most important performance metrics for classification models?
What is the role of Bayesian methods in data analytics, and how do they compare to frequentist approaches?
How do you evaluate the stability of a clustering algorithm over different datasets?
What is hyperparameter tuning, and why is it essential for model optimization? How do you perform hyperparameter tuning effectively?
How do you perform sentiment analysis on social media data?
What is feature selection, and how does it impact the model’s performance?
How does the use of distributed computing frameworks like Apache Spark improve data analytics?
How do you implement a Markov Chain for predictive analytics in customer behavior?
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