How can reasoners be applied to help explain what has been learned?
In the context of machine learning, particularly as implemented within platforms such as Google Cloud Machine Learning, the concept of “reasoners” refers to computational systems or algorithms that can infer new knowledge, provide logical explanations, or clarify the outcomes of learning algorithms. When considering how reasoners can be applied to help explain what has been
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Introduction, What is machine learning
How does the What-If Tool allow users to explore the impact of changing values near the decision boundary?
The What-If Tool is a powerful feature of Google Cloud AI Platform that allows users to explore the impact of changing values near the decision boundary. It provides a comprehensive and interactive interface for understanding and interpreting machine learning models. By manipulating input features and observing the corresponding model predictions, users can gain insights into

