Given below are two statements, one is labelled as Assertion A and the other is labelled as Reason R Assertion A: Machine Learning requires good quality and sufficient data to train and test the algorithm Reason R: For correct classification, good quality data which is free from noise, and sufficient data is required for training and testing of the algorithm. In light of the above statements, choose the most appropriate answer from the options given below
Given below are two statements, one is labelled as Assertion A and the other is labelled as Reason R Assertion A: Machine Learning requires good quality and sufficient data to train and test the algorithm Reason R: For correct classification, good quality data which is free from noise, and sufficient data is required for training and testing of the algorithm. In light of the above statements, choose the most appropriate answer from the options given below Correct Answer Both <span style="font-weight: 700;">A</span> and <span style="font-weight: 700;">R</span> are correct and<span style="font-weight: 700;"> R</span> is the correct explanation of<span style="font-weight: 700;"> A</span>
Assertion A: Machine Learning requires good quality and sufficient data to train and test the algorithm
Reason R: For correct classification, good quality data that is free from noise, and sufficient data is required for training and testing of the algorithm.
Both the statements are correct but R is the correct explanation of A.
- Data can come in many forms, but machine learning models rely on four primary data types.
- These include numerical data, categorical data, time-series data, and text data.
- Machine learning algorithms are almost always optimized for raw, detailed source data
- . Thus, the data environment must provide large quantities of raw data for discovery-oriented analytics practices such as data exploration, data mining, statistics, and machine learning.