DataPOEM Data Scientist Interview Questions and Answers

Q1. What is your Experience in Deploying ML Models
Ans. 
I have experience deploying ML models in production environments using cloud services like AWS and Azure.
• Deployed ML models using AWS SageMaker for real-time predictions

• Utilized Azure Machine Learning service to deploy models for batch processing

• Implemented CI/CD pipelines for automated model deployment

• Managed model versioning and monitoring in production environments
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Q2. What is your Expertise in deep learning methodologies
Ans. 
I have expertise in deep learning methodologies including neural networks, CNNs, RNNs, and GANs.
• Extensive experience with neural networks and their applications in image recognition and natural language processing

• Proficient in Convolutional Neural Networks (CNNs) for tasks such as image classification and object detection

• Familiarity with Recurrent Neural Networks (RNNs) for sequential data analysis like time series for...read more
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We need to build a ML model for the data they have given

Q1. What's the difference between neural network and ML Models
Ans. 
Neural networks are a subset of machine learning models that mimic the human brain's structure and function.
• Neural networks are a type of machine learning model that is inspired by the structure and function of the human brain.

• Neural networks consist of interconnected nodes arranged in layers, with each node performing a specific function.

• Machine learning models, on the other hand, encompass a broader range of algorith...read more
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