Interested to Buy Any Domain ? << Click Here >> for more details...
What is supervised and unsupervised machine learning?
- 1 Answers
- 149 Views
- I also Faced
- E-Mail Answers
Answer / Mukesh Singh
Supervised learning is a type of machine learning where the algorithm learns to predict an output (dependent variable) based on labeled input data (independent variables). Unsupervised learning, on the other hand, deals with unlabeled data. The goal is to find patterns or structures within the data without specific guidance about what those patterns should look like.
| Is This Answer Correct ? | 0 Yes | 0 No |
Explain what is the function of ‘Unsupervised Learning’?
What is pruning in decision trees and how is it done?
How is ML different from artificial intelligence?
What is the convex hull?
How is machine learning (ml) different from artificial intelligence (ai)?
What is your opinion on our current data process?
What do you mean by parametric models? Also, give some examples of them?
Explain the bias-variance tradeoff.
What is dimension reduction in Machine Learning?
What are standardization and normalisation?
What is the difference between supervised and unsupervised learning?
What do you know about bayesian networks?
-
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)
