Interested to Buy Any Domain ? << Click Here >> for more details...
Explain the Genetic Programming in Machine Learning?
- 1 Answers
- 90 Views
- I also Faced
- E-Mail Answers
Answer / Shilpi Gangwar
Genetic Programming is a type of evolutionary algorithm used in Machine Learning. It mimics the process of natural selection and genetic inheritance to evolve computer programs that solve problems. In genetic programming, programs are represented as trees of functions and terminals, and populations of programs are evolved using operators like mutation, crossover, and selection.
| Is This Answer Correct ? | 0 Yes | 0 No |
Tell us what is the difference between supervised and unsupervised machine learning?
What is supervised and unsupervised machine learning?
Can you explain bias-variance trade-off?
What do you mean by regression in machine learning?
Tell us how do classification and regression differ?
What is the difference between Gini Impurity and Entropy in a Decision Tree?
What is the difference between type I and type ii error?
What is Model Selection in Machine Learning?
What do you mean by parametric models? Also, give some examples of them?
Why is harmonic mean used to calculate f1 score and not the arithmetic mean?
What are the different types of algorithm methods in machine learning?
Tell us an example where ensemble techniques might be 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)
