What is the difference between skewed and uniform distribution?
- 1 Answers
- 429 Views
- I also Faced
- E-Mail Answers
Answer / Santosh Kumar Sharma
A skewed distribution is a type of distribution where data points are concentrated on one side, leading to a tail on the opposite side. This can be either left-skewed (data skewed towards lower values) or right-skewed (data skewed towards higher values). A uniform distribution, on the other hand, is a continuous distribution where all outcomes in a given range have an equal probability of occurring.
| Is This Answer Correct ? | 0 Yes | 0 No |
Can you explain data cleansing?
How to install the ggplot2 package?
What is the difference between Stack and Queue
Explain data preparation?
What is a data science job?
Why is data cleaning essential in data science?
Explain survivorship bias?
Explain the difference between bayesian estimate and maximum likelihood estimation (mle)?
How will you define the number of clusters in a clustering algorithm?
Name three disadvantages of using a linear model?
Advantages of tableau prep?
What is data scientist?
-
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)
