What is data normalization?
Answer / Kaptan Singh
Data normalization is the process of organizing data in a database to reduce redundancy and dependency, improve data integrity, and ensure consistency. It involves breaking down larger tables into smaller, more manageable tables by removing duplicates and repeating groups.
| Is This Answer Correct ? | 0 Yes | 0 No |
Tell me how does deep learning contrast with other machine learning algorithms?
What are the applications of deep learning?
What is the cost function?
What are the prerequisites for starting in deep learning?
What is an auto-encoder?
Why are gpus good for deep learning?
What is the difference between Batch Gradient Descent and Stochastic Gradient Descent?
Which laptop is best for research?
Can relu function be used in output layer?
Explain the types of perceptron?
What is Bagging and Boosting?
Is a gtx 1060 good?
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)