Senior Artificial Intelligence Engineer

Senior Artificial Intelligence Engineer Interview Questions and Answers

Updated 29 Jan 2025
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Q1. What is the detailed working mechanism of Decision Trees, and how are they utilized for classification tasks?

Ans.

Decision Trees are a popular machine learning algorithm used for classification tasks by recursively splitting the data based on feature values.

  • Decision Trees work by recursively splitting the data based on feature values to create a tree-like structure.

  • At each node, the algorithm selects the feature that best splits the data into purest possible subsets.

  • This process continues until a stopping criterion is met, such as a maximum tree depth or minimum number of samples in a no...read more

Q2. What are the various machine learning algorithms, and can you explain their functionalities?

Ans.

Various machine learning algorithms include linear regression, decision trees, support vector machines, and neural networks.

  • Linear regression: used for predicting continuous values based on input features.

  • Decision trees: used for classification and regression tasks by splitting data into branches based on feature values.

  • Support vector machines: used for classification tasks by finding the hyperplane that best separates classes.

  • Neural networks: used for complex pattern recogni...read more

Senior Artificial Intelligence Engineer Interview Questions and Answers for Freshers

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Q3. What is P value and what is its significance?

Ans.

P value is a statistical measure that helps determine the significance of results in hypothesis testing.

  • P value is the probability of obtaining results as extreme as the observed results, assuming the null hypothesis is true.

  • A small P value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, leading to its rejection.

  • A large P value (> 0.05) suggests weak evidence against the null hypothesis, leading to its acceptance.

  • P value helps in determining whether ...read more

Q4. flexible to do non ai roles

Ans.

Yes, I am open to taking on non-AI roles if needed.

  • I have a diverse skill set and am willing to contribute in various areas.

  • I understand the importance of teamwork and am willing to support my colleagues in different roles.

  • I am adaptable and open to learning new skills outside of AI if necessary.

Are these interview questions helpful?

Q5. areas of interrst

Ans.

Areas of interest include machine learning, natural language processing, computer vision, and robotics.

  • Machine learning

  • Natural language processing

  • Computer vision

  • Robotics

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