08 Oct Statistics for Machine Learning

Statistics is a branch of mathematics and a vital tool in machine learning. It assists in understanding the underlying patterns in data. It collects, analyses, interprets, and presents data using statistical methods. Sir Ronald Aylmer Fisher is considered the father of modern statistics.

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The Statistics for Machine Learning tutorial is prepared for students, engineers, and professionals. It will help them understand the role of statistics in Machine Learning.

Statistics for Machine Learning – Index

☑️ Statistics – Introduction

• What is Statistics
• Applications of Statistics in Machine Learning

☑️ Types of Statistics

• What are the types of Statistics
• Descriptive Statistics
• Inferential Statistics
• Descriptive vs Inferential Statistics

☑️ Machine Learning – What is Central Tendency

• Machine Learning – What is Central Tendency
• Machine Learning – Mean
• Machine Learning – Median
• Machine Learning – Mode

☑️ Descriptive Statistics – Variability

• Machine Learning – What is Variability
• Standard Deviation
• Variance
• Range
• Skewness and Kurtosis

☑️ Descriptive Statistics – Measures of Position

• Interquartile Range (IQR)
• Percentile
• Z-score

☑️ Inferential Statistics – Measures of Position

• Population and Sample
• Hypothesis

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