Micron Tech Senior Data Scientist Interview Questions, Process, and Tips

A data science assignment to build a well performing ML model

Q1. What are loss functions for Linear and Logistics Regression and why are they so?
Ans. 
Loss functions for Linear and Logistic Regression and their significance.
• Linear Regression uses Mean Squared Error (MSE) as the loss function.

• Logistic Regression uses Binary Cross-Entropy (BCE) as the loss function.

• MSE measures the average squared difference between the predicted and actual values.

• BCE measures the difference between the predicted and actual probabilities.

• The goal is to minimize the loss function to imp
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Q2. Explain data pre-processing steps
Ans. 
Data pre-processing is a crucial step in data analysis that involves cleaning, transforming, and organizing data.
• Cleaning data by removing duplicates, filling in missing values, and correcting errors

• Transforming data by scaling, normalizing, or encoding categorical variables

• Organizing data by splitting into training and testing sets, or creating new features

• Exploratory data analysis to identify outliers, correlations, ...read more
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Q3. What are the most common reasons for overfitting?
Ans. 
Overfitting occurs when a model is too complex and fits the training data too closely, resulting in poor generalization to new data.
• Using a model that is too complex

• Having too few training examples

• Using irrelevant or noisy features

• Not using regularization techniques

• Not using cross-validation to evaluate the model

• Data leakage
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Q4. Why and When do we use Transfer Learning?
Ans. 
Transfer Learning is used to leverage pre-trained models for new tasks, saving time and resources.
• Transfer Learning is used when the dataset for a new task is small or limited.

• It can also be used when the new task is similar to the original task the pre-trained model was trained on.

• Transfer Learning can save time and resources by using pre-trained models instead of training from scratch.

• Examples include using pre-train...read more
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Q1. Why did you apply from Micron
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Q2. What is your expectation from the job.
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