Probability and Statistics

A fancy image for capturing the reader's interest. Alludes to linear regression
Linear Algebra, Probability and Statistics

Linear Regression: Statistical vs Machine Learning View

Is linear regression a statistical model or a machine learning algorithm? While often used as the “Hello World” of deep learning, the method is deeply rooted in 18th-century statistics. The confusion arises because both fields tackle the same problem from different perspectives, using different terms for the same concepts. This article serves as a bridge between these two worlds. We will break down why certain terms are favored in one domain over the other, giving you a ‘translation layer’ that makes reading both statistical papers and machine learning textbooks much more intuitive.

Maximum Likelihood Estimation
Math, Probability and Statistics

Maximum Likelihood Estimation

The method of maximum likelihood estimation allows to estimate point parameters for a given distribution underlying some observed data. Let’s look at an example to understand what this means:Imagine you measure the height of 20 women within an age-range between 20-40 years. You denote the measurements as \(X_1=x_1, X_2=x_2,…,X_{20}=x_{20}\), where the capital \(X_i\) refers to

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