Machine learning approaches can be traditionally categorized into ______ categoriesAnswer choicesSelect only one optionREVISIT5346

Machine learning approaches can be traditionally categorized into three categories: supervised learning, unsupervised learning, and reinforcement learning.

1. Supervised Learning: This approach involves training a model on a labeled dataset, where the correct output is known. The model learns to make predictions based on the input and output pairs.

2. Unsupervised Learning: In this category, models are trained on datasets without labeled responses. The model tries to learn the underlying structure from the data without any guidance on what the output should be.

3. Reinforcement Learning: This approach relies on agents that learn to make decisions by receiving rewards or penalties for their actions. The focus is on learning a policy that maximizes cumulative rewards over time.

Hence, the answer to the fill-in-the-blank is three.