Interested to Buy Any Domain ? << Click Here >> for more details...
What is the benefit of naive bayes in machine learning?
- 1 Answers
- 88 Views
- I also Faced
- E-Mail Answers
Answer / Suman Pal
Naive Bayes offers several benefits in machine learning. It is simple and easy to understand, making it suitable for beginners. It performs well even with a small amount of training data due to its ability to model multiple classes simultaneously. Additionally, it can handle both nominal and continuous attributes without any modifications.
| Is This Answer Correct ? | 0 Yes | 0 No |
Explain the difference between a generative and discriminative model?
What is naive bayes classifier?
What is the “kernel trick” and how is it useful?
Tell me what is a recommendation system?
What are the areas in robotics and information processing where sequential prediction problem arises?
What is the standard approach to supervised learning?
Tell us how do classification and regression differ?
What is the baseline in machine learning?
How much data will you allocate for your training, validation and test sets?
What is kernel SVM?
What is ensemble learning?
What is your opinion on our current data process?
-
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)
