Related Questions

In data modeling, what is the term for the process of selecting relevant features or attributes for a specific task?
The Weberian model of bureaucracy has been criticised from a variety of stand points.
Consider the following points in this regard:
1. The Weberian model appears to be a 'machine theory' and a closed system model taking little account of organisational interactions with the environment.
2. The structural features of bureaucracy as laid down by Weber might be suitable for routine and repetitive tasks but these would produce dysfunctional consequences in terms of human behaviour if the jobs would involve innovation and creativity.
3. Weberian model has not been found to respond adequately to the tasks of socioeconomic transformation in the developing countries. These tasks require quick changes whereas the capacity of the Weberian model for adaptation to change is rather slow.
4. Weber's model is confined to the study of formal bureaucratic structure and fails to take notice of the informal structure of bureauracy such as informal relations, informal norms and values, an informal power hierarchy and informal power struggles.
Which of the above points make a valid criticism of the Weberian model? Select the correct answer from below:
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 data modeling, what is the term for the process of selecting a subset of data for model training and testing?
In data modeling, what is the term for the process of converting categorical data into numerical format for modeling purposes?
In data modeling, what is the term for the process of creating new features or variables from existing data attributes?
In data modeling, what is the term for the process of selecting and combining data from multiple sources for analysis?
A company owns some land and buildings for which the following details are relevant : Cost of land Taka 50,000; cost of building Taka 100,000, estimated life of building 20 years, estimated residual value of building Taka 2000; estimated residual value of land Taka 50,000. The company uses the straight line depreciation method. Which is the correct annual depreciation charge for this asset?
Read the following sentences and choose the correct option. (i) Variables can only take discrete values while Attributes can take continuous values. (ii) Variables can only take continuous values while Attributes take discrete value. (iii) Attributes and variables are dependent on each other. (iv) Width of an impeller blade is a variable but no. of defective blades in a lot is an attribute.