Interested to Buy Any Domain ? << Click Here >> for more details...
What is the difference between inductive machine learning and deductive machine learning?
- 1 Answers
- 166 Views
- I also Faced
- E-Mail Answers
Answer / Ashish Deo
Inductive Machine Learning (IML) is a type of machine learning that involves building models based on observations and examples, while Deductive Machine Learning (DML) is a type of machine learning that involves using logical reasoning to arrive at conclusions based on existing knowledge. IML is typically used for tasks like classification, clustering, or anomaly detection, while DML is used for knowledge representation, expert systems, and AI planning.
| Is This Answer Correct ? | 0 Yes | 0 No |
Why naive bayes is called naive?
Explain the function of Supervised Learning?
What is the difference between heuristic for rule learning and heuristics for decision trees?
Explain the Algorithm of Probabilistic networks in Machine Learning?
What is an Incremental Learning algorithm in ensemble?
What is svm algorithm?
What is the convex hull?
What do you mean by regression in machine learning?
What is bias-variance trade-off in machine learning?
Can you explain bias-variance trade-off?
Tell us what's the f1 score? How would you use it?
What is the difference between Gini Impurity and Entropy in a Decision Tree?
-
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)
