Hundred Common AI Interview Questions

Let’s learn the most common generative AI, AI engineering, deep learning, and machine learning interview questions.

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1. What is bias-variance trade-off?

The bias-variance trade-off is a fundamental concept in machine learning that describes the balance between two types of errors that a model can make:[1]

• Bias refers to errors due to overly simplistic models that fail to capture the underlying data patterns, leading to underfitting.[1]
• Variance refers to errors due to overly complex models that are too sensitive to small fluctuations in the training data, leading to overfitting.[1]

The trade-off involves finding a model complexity that minimizes both bias and variance, resulting in better generalization to unseen data. [1]

2. What is backpropagation?

Backpropagation is a supervised learning algorithm used for training artificial neural networks. It involves a forward pass, where inputs are processed through the network to produce an output, and a backward pass…