Senior Artificial Intelligence Engineer Interview Questions and Answers

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

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

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