What is Statistics?
Statistics is the science of collecting, organizing, analyzing, interpreting, and presenting data. It encompasses a wide range of techniques for summarizing data, making inferences, and drawing conclusions.
Statistical methods help quantify uncertainty and variability in data, allowing researchers and analysts to make data-driven decisions with confidence.
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
Machine Learning Statistics