Which three statements about machine learning are true? (Choose three.)
Select All Correct Responses
- Machine learning will eventually develop to a level where it can replace advertisers entirely.
- Machine learning happens when computers analyze and recognize patterns in huge amounts of data.
- Machine learning means computers don’t need to be explicitly programmed or told what to do.
- Machine learning can become more efficient and accurate over time.
- Machine learning is a way of effectively summarizing large amounts of data.
Explanation:
The selected options are true for several reasons. Firstly, the statement that ‘machine learning means that computers don’t need to be explicitly programmed or told what to do’ is true because in machine learning, algorithms learn from data patterns and experiences rather than relying on explicit programming instructions. Secondly, ‘machine learning can become more efficient and accurate over time’ is accurate because as the system is exposed to more data, it can refine its algorithms and improve its performance through a process called ‘learning.’ Lastly, ‘machine learning happens when computers analyze and recognize patterns in huge amounts of data’ is true as well, as this is the essence of how machine learning algorithms operate—they identify patterns and correlations within vast datasets to make predictions or decisions. However, the options that state ‘machine learning will eventually develop to a level where it can replace advertisers entirely’ and ‘machine learning is a way of effectively summarizing large amounts of data’ are not necessarily universally true. While machine learning can be utilized in advertising and for summarizing data, the former option oversimplifies the capabilities and limitations of machine learning, and the latter neglects the broader scope of machine learning’s applications beyond summarization. Therefore, the correct options are the ones that highlight the fundamental principles and capabilities of machine learning, which include its ability to learn from data, improve over time, and identify patterns autonomously.
