Which of the following statements BEST describes Machine Learning (ML)?

Question

BlackTom AI · Accepted Answer

First, consider what Machine Learning (ML) is generally described as in the field. The topic focuses on systems that improve their performance on a task by learning from data patterns, rather than relying on explicit, hand-crafted rules for every scenario. This key idea contrasts with traditional programming where all rules are manually specified.

Option 1: 'ML is a process where systems automatically improve performance on a task by learning from data patterns, not through direct programming.' This captures the core essence of ML: learning from data to enhance performance without explicit, task-specific programming. It aligns with the fundamental definition that models generalize from patterns in data.

Option 2: 'ML is a method where computers are explicitly programmed with all the rules needed to solve complex problems.' This contradicts ML’s core principle. In ML, you don’t hard-code all rules; you learn rules or patterns from data. If all rules were programmed, there would be no learning from data, which is the opposite of ML.

Option 3: 'ML is a branch of computer science that relies solely on human-defined instructions to generate intelligent behavior.' While ML relies on human design, its defining characteristic is that the system improves through data-driven learning, not only humano n-defined instructions. The word 'solely' implies no learning from data, which is inaccurate.

Option 4: 'ML is a fixed algorithm that performs consistently regardless of new data input.' This is false because ML models typically adapt or update when exposed to new data; their performance can change with new data due to learning, distribution shifts, or retraining. The statement ignores the data-driven adaptability inherent in ML.

In sum, the option that best describes ML is the first one, as it accurately highlights learning from data patterns and the absence of direct, explicit programming to drive performance improvements.

Introduction to Artificial Intelligence (082025-VTK)

Which of the following statements BEST describes Machine Learning (ML)?

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