Which of the following problems can be resolved by using machine learning algorithms?

The classification problem is indeed a type of problem that can be effectively resolved using machine learning algorithms. In this context, classification involves assigning items to predefined categories based on their features. Machine learning algorithms, such as decision trees, support vector machines, and neural networks, are specifically designed to analyze training data and learn patterns that enable them to predict the category of new, unseen data.

In the broader spectrum of machine learning, there are various types of problems that algorithms can tackle. Reinforcement learning, for instance, focuses on training agents to make sequences of decisions by maximizing a reward signal, rather than classifying or predicting continuous outcomes. Clustering, on the other hand, involves grouping similar data points together without predefined labels, which is fundamentally different from the explicit categorization provided in classification. Lastly, regression problems deal with predicting continuous numerical values based on input features, which is a distinct aspect of supervised learning but not a classification per se.