Describe the classifier in machine learning.
Answer / Mohit Rathi
"A classifier is a supervised learning algorithm that categorizes data into distinct classes or groups based on learned patterns. It predicts the class membership of new, unseen samples. Examples include Naive Bayes Classifier, Decision Trees, Support Vector Machines (SVM), and Neural Networks."
| Is This Answer Correct ? | 0 Yes | 0 No |
What do you mean by parametric models? Also, give some examples of them?
What is sequence learning?
How will you explain machine learning to a layperson?
What is precision and recall?
What is the classifier in machine learning?
Why is it important for the royal society to be doing a project about machine learning?
Explain me what is machine learning?
Why is naive bayes better than decision tree?
What are the advantages of Naive Bayes?
What is a model selection in machine learning?
What are the different methods for Sequential Supervised Learning?
What is machine learning basics?
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)