Artificial Intelligence Engineer Interview Questions and Answers

Machine learning is a subset of AI that enables systems to learn and improve from experience without being explicitly programmed.

• Machine learning is the process of training a model on data to make predictions or take actions.

• ML algorithms are mathematical models that enable machines to learn patterns and make decisions.

• Some popular ML algorithms include linear regression, decision trees, and neural networks.

• Frameworks like TensorFlow, PyTorch, and scikit-learn provide tools a...read more

Database systems are software applications that manage and organize data in a structured way for easy retrieval and manipulation.

• Database systems store and manage large amounts of data efficiently.

• They provide mechanisms for querying and updating data.

• Examples include MySQL, Oracle, SQL Server, and MongoDB.

Decision trees are a type of supervised machine learning algorithm used for classification and regression tasks.

• Decision trees are hierarchical structures where each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome.

• They are easy to interpret and visualize, making them popular for decision-making processes.

• Decision trees can handle both numerical and categorical data, and can be used for both cla...read more

Support Vector Machine (SVM) is a supervised machine learning algorithm used for classification and regression tasks.

• SVM finds the hyperplane that best separates the classes in a high-dimensional space

• It works by maximizing the margin between the closest data points from different classes

• SVM can handle non-linear data by using kernel functions to map data into higher dimensions

• It is effective for small to medium-sized datasets with high dimensionality