What are the two classification methods that SVM ( Support Vector Machine) can handle?
Answer / Ratindra Kumar
Support Vector Machines (SVMs) can handle both linear and non-linear classification problems. For linear classification, a hyperplane separates the data points of different classes, while for non-linear classification, a kernel trick is used to transform the data into a higher dimension where a linear separation is possible.
| Is This Answer Correct ? | 0 Yes | 0 No |
Explain what is naive bayes in machine learning?
What are the two paradigms of ensemble methods?
Give examples of machine-to-machine communications?
Comparision between Machine Learning and Big Data?
Explain the k-nearest algorithm different from the knn clustering?
Tell us when should you use classification over regression?
Explain the 3 types of ai?
What is sequential data in machine learning?
Mention the difference between Data Mining and Machine learning?
Explain the Algorithm Technique of Transduction in Machine Learning?
What are the topics in machine learning?
What is batch statistical learning?
AI Algorithms (74)
AI Natural Language Processing (96)
AI Knowledge Representation Reasoning (12)
AI Robotics (183)
AI Computer Vision (13)
AI Neural Networks (66)
AI Fuzzy Logic (31)
AI Games (8)
AI Languages (141)
AI Tools (11)
AI Machine Learning (659)
Data Science (671)
Data Mining (120)
AI Deep Learning (111)
Generative AI (153)
AI Frameworks Libraries (197)
AI Ethics Safety (100)
AI Applications (427)
AI General (197)
AI AllOther (6)