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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 curse of dimensionality, and how does it impact data analysis?
RELATED INTERVIEW QUESTIONS
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
What is a data mart, and how does it differ from a data warehouse in terms of analytical purposes?
What are the primary steps involved in preparing data for a machine learning model?
What are recurrent neural networks (RNNs), and how do they handle time-series data?
How would you handle noisy data when training a machine learning model?
What are time-series cross-validation techniques, and how are they applied in forecasting?
How do you apply gradient descent in training deep neural networks?
What is the K-means clustering algorithm, and how do you determine the optimal number of clusters?
What is the difference between regression and classification models in machine learning?
Explain the concept of a precision-recall curve and when to use it.
What is transfer learning, and how is it useful in deep learning?
Explain the difference between supervised and unsupervised learning with examples.
What is linear programming, and how does it relate to data optimization problems?
Explain the concept of reinforcement learning and its applications in analytics.
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