Differentiate supervised and unsupervised machine learning.
- 1 Answers
- 348 Views
- I also Faced
- E-Mail Answers
Answer / Ram Bhardwaj
Supervised learning involves training a model using labeled data, meaning the input data has predefined outputs or answers. The goal is to learn a mapping function between inputs and outputs so that the model can predict the output for new, unseen data. On the other hand, unsupervised learning works with unlabeled data where the model identifies patterns and structures in the data without any predefined labels.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is the meaning of overfitting in machine learning?
What is Perceptron in Machine Learning?
Differentiate between data science, machine learning and ai.
Explain the decision tree classification?
Describe the classifier in machine learning.
What is regression in machine learning?
Describe dimension reduction in machine learning.
What do you understand by Eigenvectors and Eigenvalues?
What is decision tree classification?
Explain Classification and Regression?
What is meant by naive bayes classifier?
What is reasoning and its types in artificial intelligence?
-
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)
