Pattern recognition is used for similarities between concepts or problems in an algorithm.
What is meant by pattern recognition?
Pattern recognition is a data analysis method that uses machine learning algorithms to automatically recognize patterns and regularities in data. This data can be anything from text and images to sounds or other definable qualities. Pattern recognition systems can recognize familiar patterns quickly and accurately.
An example of pattern recognition is classification, which attempts to assign each input value to one of a given set of classes (for example, determine whether a given email is "spam" or "non-spam").
Therefore, Pattern recognition is used.
To know more about Pattern recognition from the given link
brainly.com/question/28427592
#SPJ1
Answer:
Systems analysis phase.
Explanation:
In a systems development life cycle (SDLC) model, the purpose of the systems analysis phase is to build a logical model of the new system.
In the systems analysis phase, the system developer examines or analyzes the information or data about the requirements of an end-user, which are then implemented to achieve the organizational set goals and objectives.
Hence, systems analysis refers to the process of gathering data or factual informations, understanding processes, problem identification and suggestions of probable solutions for an effective and efficient functioning of the system.
Answer:
E. All of the listed
Explanation:
For compute-optimized cloud offerings like AWS, suitable use cases are - gaming, distributed analytics, and scientific modeling. Since all these are suitable, the correct answer is E.
