COMPUTER ETHICS AND SECURITY
ETHICS IN COMPUTING
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
Computing & Storage
|
|
Calculating & Memory
|
|
Either A or B
|
|
None of the above
|
Detailed explanation-1: -In general, lots of data is needed in machine learning to overcome the variance in estimators/models. Trees, as an example, are incredibly high variance estimators. The only real way to combat that is to add more data since the variance shrinks proportional to 1/n.
Detailed explanation-2: -Primary data sources can include surveys, observations, questionnaires, experiments, personal interviews, and more. The data from ERP (Enterprise Resource Planning) and CRM (Customer Relationship Management) systems can also be used as a primary source of data.
Detailed explanation-3: -Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate.