Interested to Buy Any Domain ? << Click Here >> for more details...
What is the difference between supervised and unsupervised learning?
- 1 Answers
- 112 Views
- I also Faced
- E-Mail Answers
Answer / Deeksha Jindal
Supervised learning is a type of machine learning where the algorithm learns from labeled data, i.e., data that comes with input-output pairs. The goal is to learn a mapping function from inputs to outputs. In contrast, unsupervised learning algorithms learn from unlabeled data without any explicit output variables. The goal is to find patterns or structures in the data.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is false positive and false negative in terms of machine learning?
What are the most common types of machine learning task?
What is difference between a parameter and a hyperparameter?
What are standardization and normalisation? Give one advantage of each over the other?
What is the difference between covariance and correlation?
What are the three types of algorithms?
Explain the Algorithm Technique of Supervised Learning in Machine Learning?
How does a classifier work?
Which are the two components of bayesian logic program?
Who invented machine learning?
What is the classification threshold in machine learning?
What Are The Three Stages To Build The Model In 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)
