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Concepts & Terminologies in Probability and Statistics for ML and Data Science, with Free Resources.

January 18, 2021 by systems

Population vs Sample

Population: every member of a group.
Sample: a subset of member that time and resources allow you to measure.

The main 2 concepts often discussed for Measurements of Data

1. Measures of Central Tendency

This is divided into 3 categories

a. Mean: Its the average of numbers. (add up all the numbers, then divide by how many numbers there are)

b. Median: Its the middle value of numbers. (for odd numbers its n+1/2 )

c. Mode: Its the most occuring value.

2. Measures of Dispersion

This is divided into 3 categories

a. Range: its the difference between maximum value and minimum value.(max-min)

b. Variance: It is calculated as sum of square distance from each point to the mean → S² = Σ(x-x̄)²/(n-1)

c. Standard Deviation: Its the square-root of Variance — S = √(Σ(x-x̄)²/(n-1))

Filed Under: Machine Learning

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