Statistics for Machine Learning ๐
Understanding the two broad types:
๐ Descriptive
๐ Inferential
๐งต ๐
Understanding the two broad types:
๐ Descriptive
๐ Inferential
๐งต ๐
Statistics:
The science of collecting, organising, analysing & presenting the data.
Broadly classified as ๐
1๏ธโฃ Descriptive
2๏ธโฃ Inferential
The science of collecting, organising, analysing & presenting the data.
Broadly classified as ๐
1๏ธโฃ Descriptive
2๏ธโฃ Inferential
1๏ธโฃ Descriptive Statistics:
Describe the features of populations/samples.
Present data in a purely factual way.
Present final results visually (tables/charts/graphs)
Draw conclusions based on known data.
Use measures of central tendency, distribution & variance.
Describe the features of populations/samples.
Present data in a purely factual way.
Present final results visually (tables/charts/graphs)
Draw conclusions based on known data.
Use measures of central tendency, distribution & variance.
2๏ธโฃ Inferential Statistics:
Helps us to Estimate & predict future outcomes.
Final results in the form of probabilities.
Draw conclusions that go beyond the available data.
Use techniques like hypothesis testing, confidence intervals, regression, correlation analysis etc
Helps us to Estimate & predict future outcomes.
Final results in the form of probabilities.
Draw conclusions that go beyond the available data.
Use techniques like hypothesis testing, confidence intervals, regression, correlation analysis etc
Although, presented here in a binary way, descriptive and inferential stats are often used in tandem.
Together they setup the foundation on which data analytics is built.
Together they setup the foundation on which data analytics is built.
That's all for today!
Hope you enjoyed reading!! ๐
Iโm from India ๐ฎ๐ณ
Trying to simplify Python, Maths and Machine Learning for you.
follow โ @akshay_pachaar
To support, Like & retweet the 1st tweet ๐ ๐
Hope you enjoyed reading!! ๐
Iโm from India ๐ฎ๐ณ
Trying to simplify Python, Maths and Machine Learning for you.
follow โ @akshay_pachaar
To support, Like & retweet the 1st tweet ๐ ๐
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