once completed, answer the questions below to show what you learned.\n1 what do we call a collection of data…

once completed, answer the questions below to show what you learned.\n1 what do we call a collection of data used for training a machine - learning model?\ndata set\nneural network\npattern recognition\nalgorithm\n2 what is a key characteristic of unsupervised learning?\nit always results in a correct answer.\nit requires a teacher or labeled data.\nit focuses on finding hidden patterns.\nit is the easiest type of machine learning

once completed, answer the questions below to show what you learned.\n1 what do we call a collection of data used for training a machine - learning model?\ndata set\nneural network\npattern recognition\nalgorithm\n2 what is a key characteristic of unsupervised learning?\nit always results in a correct answer.\nit requires a teacher or labeled data.\nit focuses on finding hidden patterns.\nit is the easiest type of machine learning

Answer

Brief Explanations:

  1. In machine - learning, a collection of data used for training a model is called a data set. A neural network is a type of model, pattern recognition is a task, and an algorithm is a set of rules for performing a task.
  2. Unsupervised learning focuses on finding hidden patterns in data without the need for labeled data or a known answer. It is not the main type of machine - learning and does not require a teacher or labeled data.

Answer:

  1. Data Set
  2. It focuses on finding hidden patterns.