Account
Login
Categories
HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Cloud
HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Cloud
Shobha
The best way to predict the future is to invent it
Explain how principal component analysis (PCA) works for dimensionality reduction.
RELATED INTERVIEW QUESTIONS
How would you apply cross-validation techniques in a deep learning model?
How do you apply data augmentation in deep learning for image processing?
What are autoencoders, and how are they used in unsupervised learning tasks?
What is data streaming, and how is it used for real-time analytics?
How does regularization help to reduce overfitting in machine learning models?
What are semantic networks, and how are they used in knowledge extraction from text?
What are the advantages and disadvantages of using deep learning for structured data analysis?
What are the advantages of using deep learning over traditional machine learning in analytics?
How do you choose the best machine learning algorithm for a given dataset?
How do you perform dimensionality reduction, and why is it essential in machine learning?
What are the advantages of using XGBoost over other machine learning algorithms?
What is the difference between a Data Lake and a Data Warehouse, and when would you use each in analytics?
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 time-series analysis, and what techniques do you use for it?
What are LSTM networks, and how do they handle sequential data?
X