Answer:
4. Supervised learning.
Explanation:
Supervised and Unsupervised learning are both learning approaches in machine learning. In other words, they are sub-branches in machine learning.
In supervised learning, an algorithm(a function) is used to map input(s) to output(s). The aim of supervised learning is to predict output variables for given input data using a mapping function. When an input is given, predictions can be made to get the output.
Unsupervised learning on the other hand is suitable when no output variables are needed. The only data needed are the inputs. In this type of learning, the system just keeps learning more about the inputs.
Special applications of supervised learning are in image recognition, speech recognition, financial analysis, neural networking, forecasting and a whole lot more.
Application of unsupervised learning is in pre-processing of data during exploratory analysis.
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Answer:
The company might not be able to satisfy their customers
Answer:
Option A i.e., Data flow diagram.
Explanation:
The data flow diagram illustrates that details travel into a mechanism or mechanism. This requires getting information as well as print it, information warehouses, as well as the different subprograms by which the information travels.
So, The primary device for describing the device's function as well as the transfer of information with them is the data flow diagram.
- Option B is incorrect because it offers a detailed reference for interpreting as well as using the details.
- Option C is incorrect because it applies to the goods or services documents given to end consumers.
- Option D is incorrect because It's used to define specifications with a procedure on the data flow diagram.
