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Mathematics statistics and machine learning

Track :

Programming

Lessons no : 12

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Lessons | 12

Introduction | Mathematics and statistics for data science and machine learning

Introduction | Mathematics and statistics for data science and machine learning

What is logarithm | Math Statistics for data science machine learning

What is logarithm | Math Statistics for data science machine learning

What is Standard Deviation and Mean Absolute Deviation | Math Statistics for data science ML

What is Standard Deviation and Mean Absolute Deviation | Math Statistics for data science ML

Normal Distribution and Z Score | Math Statistics for data science machine learning

Normal Distribution and Z Score | Math Statistics for data science machine learning

Median Mean Mode Percentile | Math Statistics for data science machine learning

Median Mean Mode Percentile | Math Statistics for data science machine learning

Descriptive vs Inferential Statistics | Math Statistics for data science machine learning

Descriptive vs Inferential Statistics | Math Statistics for data science machine learning

Log normal distribution | Math Statistics for data science machine learning

Log normal distribution | Math Statistics for data science machine learning

sin cos tan explained Explanation using real life example | Math Statistics for data science

sin cos tan explained Explanation using real life example | Math Statistics for data science

Cosine similarity cosine distance explained | Math Statistics for data science machine learning

Cosine similarity cosine distance explained | Math Statistics for data science machine learning

Simple explanation of A B Testing

Simple explanation of A B Testing

What is Hypothesis Testing Math Statistics for data science machine learning

What is Hypothesis Testing Math Statistics for data science machine learning

Simple explanation of Modified Z Score | Modified Z Score to detect outliers with python code

Simple explanation of Modified Z Score | Modified Z Score to detect outliers with python code

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Clara Auhe

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Statistics is a field of mathematics that is universally agreed to be a prerequisite for a deeper understanding of machine learning. Although statistics is a large field with many esoteric theories and findings, the nuts and bolts tools and notations taken from the field are required for machine learning practitioners .