Interested to Buy Any Domain ? << Click Here >> for more details...
What is the curse of dimensionality? Can you list some ways to deal with it?
- 1 Answers
- 134 Views
- I also Faced
- E-Mail Answers
Answer / Peeyush Tripathi
The curse of dimensionality refers to the negative effects high-dimensional spaces have on machine learning algorithms' performance and efficiency. As the number of features increases, data becomes sparse, leading to increased computational cost, poor generalization, and overfitting. To combat the curse of dimensionality, techniques such as feature selection, dimensionality reduction (PCA, t-SNE), and kernel methods can be used.
| Is This Answer Correct ? | 0 Yes | 0 No |
What Is The Difference Between An Array And Linked List?
Explain how would you implement a recommendation system for our company's users?
Which linux is best for machine learning?
What are the topics in machine learning?
What are the different methods of Sequential Supervised Learning?
What is the Applying the model in Machine Learning?
What Are The Three Stages To Build The Model In Machine Learning?
Explain the Algorithm Technique of Reinforcement Learning in Machine Learning?
What is semi-supervised Machine Learning?
What is candidate sampling in machine learning?
What do you understand by decision tree classification?
What is pruning in decision trees?
-
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)
