Which ones are the key actions in the data collection phase of Machine learning included?

Which ones are the key actions in the data collection phase of Machine learning included?

A. Label

B. Ingest and Aggregate

C. Probability

D. Measure

View Answer

Answer: A, B, D

Explanation:

In the context of the data collection phase of machine learning, the key actions would be:

A. Label – This is especially relevant for supervised learning, where we need labeled data to train our models. Data labeling means assigning a label (or output value) to each data point or example.

B. Ingest and Aggregate – This is the action of taking in data from various sources and then combining them in a meaningful way. This often involves gathering raw data, processing it, and then organizing it into a structured format for further analysis.

D. Measure – Measurements can refer to the action of collecting data points or quantifying certain characteristics of the data. It is essential to ensure the quality and relevance of the data being collected.

Therefore, the correct answers are A, B, and D.

C. Probability is not a direct action in the data collection phase. While probability plays a significant role in many machine learning algorithms and analysis methods, it isn’t a key action in the collection of data.