APPLICATION OF SUPERVISED LEARNING
MACHINE LEARNINGHARD QUESTIONS
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Recognition
|
|
|
Training
|
|
|
Predictive models
|
|
|
Testing
|
Detailed explanation-1: -On the basis of survey, pattern recognition techniques can be categorized into six parts. These include Statistical Techniques, Structural Techniques, Template Matching, Neural Network Approach, Fuzzy Model and Hybrid Models.
Detailed explanation-2: -The term predictive analytics refers to the use of statistics and modeling techniques to make predictions about future outcomes and performance. Predictive analytics looks at current and historical data patterns to determine if those patterns are likely to emerge again.
Detailed explanation-3: -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.