Interested to Buy Any Domain ? << Click Here >> for more details...
What is the use of gradient descent?
- 1 Answers
- 110 Views
- I also Faced
- E-Mail Answers
Answer / Sharad Kumar Omkar
Gradient Descent is a method used in machine learning to minimize some function by iteratively moving in the direction of steepest descent as defined by the negative of the gradient.
| Is This Answer Correct ? | 0 Yes | 0 No |
What happens if the components are not rotated in PCA?
What is calibration in machine learning?
Explain what is a recommendation system?
What are the two main components of the hadoop framework?
Explain the machine learning techniques?
How python can be used in machine learning?
Is bayesian statistics useful?
Do gradient descent methods at all times converge to a similar point?
How does a classifier work?
Give a drawback of gradient descent ?
What are the functions of supervised learning?
What is the “kernel trick” and how is it useful?
-
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)
