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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 deal with large-scale, unstructured data in text analytics?
RELATED INTERVIEW QUESTIONS
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
Explain the concept of data wrangling and its importance in data analytics.
Explain the importance of hyperparameter tuning in improving machine learning models.
What is the curse of dimensionality, and how does it impact data analysis?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
What are the benefits of using cloud analytics over on-premise solutions?
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
What is the role of Markov chains in predictive analytics for customer behavior?
What are convex optimization techniques, and why are they important in machine learning?
What is the concept of Feature Extraction in computer vision analytics?
Explain the concept of ensemble learning and its applications in classification and regression problems.
What is deep learning and how is it used for image recognition?
What are the advantages and disadvantages of using deep learning for structured data analysis?
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
What is the difference between regression and classification models in machine learning?
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