Interested to Buy Any Domain ? << Click Here >> for more details...
Describe the classifier in machine learning.
- 1 Answers
- 95 Views
- I also Faced
- E-Mail Answers
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 is feature scaling?
Can you name some popular machine learning algorithms?
What is symbolic learning in AI?
Explain false negative, false positive, true negative and true positive with a simple example?
What is sequential data in machine learning?
Do you know what's the “kernel trick” and how is it useful?
How does a classifier work?
Explain cross-validation.
What are the topics in machine learning?
What are some methods of reducing dimensionality?
Explain me how would you handle an imbalanced dataset?
What are the best public data sets for machine 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)
