Variance and Standard Deviation
Variance and standard deviation are measures of dispersion or spread in a dataset. Here’s a table summarizing both:
Measure |
Description |
---|---|
Variance |
The average of the squared differences from the Mean. It quantifies how much the values in a dataset deviate from the mean. |
Standard Deviation |
The square root of the variance. It measures the average amount of variation or dispersion of a dataset from the mean. |
Statistics For Machine Learning
Machine Learning Statistics: In the field of machine learning (ML), statistics plays a pivotal role in extracting meaningful insights from data to make informed decisions. Statistics provides the foundation upon which various ML algorithms are built, enabling the analysis, interpretation, and prediction of complex patterns within datasets.
This article delves into the significance of statistics in machine learning and explores its applications across different domains.
Table of Content
- What is Statistics?
- What is Machine Learning?
- Use of Statistics in Machine Learning
- Applications of Statistics in Machine Learning
- Sample Measures of Central Tendency
- Variance and Standard Deviation
- Real-Life Applications of Statistics in Machine Learning
- Population and Sample