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:
B. Bachelor's Degree
Explanation:
Most computer and information systems managers work full time. Some work more than 40 hours per week. Typically, candidates need a bachelor's degree in computer or information science and related work experience. Many computer and information systems managers also have a graduate degree.
Answer:
Singleton pattern is the pattern for design that is build using the global variables which creates a lot of drawback in the designing. Singleton pattern are considered with the global variable and thus cannot be bound into single unit which complexes the components in design.
They have a loose coupled variables in design and also does not show the property of the multi-threading .These feature are responsible for the decrement in the performance and thus are not highly preferred choice for the pattern.So, it is known as the "anti- pattern".
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