Question

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Unsupervised learning in an artificial training system improves
A) by using virtual reality scenarios.
B) without being given specific data examples.
C) by using training data.
D) by using augmented reality data.,

Answer 1

Unsupervised learning improves in an artificial training system without being given specific data examples. It relies on algorithms to identify patterns and relationships in the available training data. Option a.

Step-by-step explanation:

Unsupervised learning in an artificial training system improves without being given specific data examples. This type of learning relies on algorithms to identify patterns and relationships in the available training data without the need for explicit instructions. It allows the system to discover hidden structures and make predictions or decisions based on those patterns. For example, by analyzing a large dataset of customer transactions, an unsupervised learning algorithm can identify common purchasing patterns and group customers into different segments.

Answer 2

Unsupervised learning improves without explicit examples or instructions, by finding patterns in the data. VR and AR are not directly associated with the enhancement of unsupervised learning algorithms.

Step-by-step explanation:

Unsupervised learning is a type of machine learning where the model is trained on data without explicit instructions on what to do. It discovers hidden patterns in data on its own. The correct answer to this question is B) without being given specific data examples. Unsupervised learning algorithms such as clustering and association can improve by analyzing more data and finding the structure within it.

While virtual reality (VR) and augmented reality (AR) can be used in many educational scenarios, they are not directly related to the improvement of unsupervised learning in artificial training systems. VR could be used for cognitive training or provide simulated environments for various types of education, but this doesn't inherently improve the algorithms used in unsupervised learning. Similarly, AR might be used to create interactive educational materials that could enrich the learning experience but does not impact the unsupervised learning process itself.