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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
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
How do you evaluate the stability of a clustering algorithm over different datasets?
What are the advantages and disadvantages of using deep learning for structured data analysis?
What is the importance of model interpretability in real-world data analytics applications?
How do you optimize model performance in an unsupervised learning task?
What is the curse of dimensionality, and how does it impact data analysis?
How do you use decision trees for feature selection in machine learning?
What is data normalization, and why is it important in machine learning?
What is ensemble learning, and why is it useful in machine learning?
How does the concept of cross-validation help prevent overfitting in machine learning models?
What are the challenges in analyzing big data, and how do you mitigate them?
What is the role of unsupervised learning in anomaly detection?
How do you select relevant features from a dataset to improve model accuracy?
What is dimensionality reduction, and how does PCA (Principal Component Analysis) help?
Explain how an ensemble learning method like Random Forest improves model performance.
What is the role of Natural Language Processing (NLP) in data analytics?
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