Related Questions

In data modeling, what is the term for the process of selecting the most relevant data attributes for model building?
In data modeling, what is the term for the process of creating new features or variables from existing data attributes?
If Arif works alone he will take 20 more hours to complete a task than if he works with Babu to complete the task. If Babu work alone, he will take 5 more hours to complete the task than if he works with Arif to complete the task. What is the ratio of the time taken by Arif to than taken by Babu if each of them works alone to complete the task?
In data modeling, what is the term for the process of converting categorical data into numerical format for modeling purposes?
Which of the following statements are true?
Statement I Big data refers to no precise quantity, but generally refers to data in the range of Petabytes and Exabyte, i.e. billions to trillions of records, all from various sources. Big data is generated much faster. than traditional data in much larger quantities.
Statement II Big data interests industries because they are able to learn more patterns and curious variances than smaller data sets, with the capability to provide valuable insights into consumer behaviour, weather systems, financial market activity, or other phenomena.
Statement III Various departments and product lines use various applications within most organisations and store data in separate datasets. These separate databases may contain similar data, but data from one data base to another is not always consistent. This is called data silo.
Consider the following statements in respect of the offence of robbery:
1. Causing fear of death may be relevant
2. Causing hurt may be relevant
3. Causing fear of hurt may be relevant
4. Causing wrongful restraint may be relevant
Which of the statements given above are correct?
Under the Evidence Act facts not otherwise relevant are relevant . . . . . . . .
1. If they are significant
2. If they are inconsistent with any fact in issue or relevant fact
3. If they make the existence or nonexistence of any fact in issue or relevant fact highly probable or improbable
Choose correct answer:
In machine learning, what is the term for the process of selecting the most important features or variables for modeling purposes?
In data modeling, what is the term for the process of reducing the dimensionality of data while preserving its important features?
In data modeling, what is the term for the process of selecting a subset of data for model training and testing?