Question

Discuss the need to use high-performance modeling nodes like support vector machines in predictive models. How would you use these high-performance tools in a real-life situation?

Answer 1

The need to use high-performance modeling nodes like support vector machines in predictive models and use of these high performance tools in real life stuation --

• Support vector machine is highly prefered because it produces significant accuracy with less computation power. and this machine can be used for regression task and classification tasks but mostly used in classification objective.
• If you are working on text classification problem, support vector machine can be used because it has fast and dependable classification algorithm that performs well with limited amount of data to analyze.
• The support vector machine can be used in real life. for example -- face detection, image classification, handwritting recognization and bioinformatics.

The applications of support vector machine in real life are --

• Face detection -- Support vector machine classify parts of the image face and non face and create square boundry around face.
• Classification of images -- support vector machine provide best search accuracy for image classification.
• Handwritting recognization -- support vector machine identify handwritten character which is used widely.
• Text and hypertext caegorization -- the support vector machine allows categorization for inductive and transductive models.
• the training data is used to classify documents into various categories.
• Bioinformatics -- It is based on cancer classification and protien classification. support vector machine identify classificatios of genes, and patients on basis of genes biological problem.