Stefan Hrouda-Rasmussen
Math savvy data scientist. I enjoy explaining data science on my personal blog: cookieblues.github.io
Illustration of decision boundaries from a (Gaussian) Naive Bayes model. Image by author.

Contents

This post is a part of a series of posts that I will be making. You can read a more detailed version of this post on my personal blog by clicking here. Underneath you can see an overview of the series.

1. Introduction to machine learning

Illustration of decision boundaries from a linear discriminant analysis model. Image by author.

Contents

This post is a part of a series of posts that I will be making. You can read a more detailed version of this post on my personal blog by clicking here. Underneath you can see an overview of the series.

1. Introduction to machine learning

Illustration of the decision boundary generated by a QDA. Image by author.

Contents

This post is a part of a series of posts that I will be making. You can read a more detailed version of this post on my personal blog by clicking here. Underneath you can see an overview of the series.

1. Introduction to machine learning

Illustration of different covariances matrices in multivariate Gaussian distributions. Image by author.

Contents

This post is a part of a series of posts that I will be making. You can read a more detailed version of this post on my personal blog by clicking here. Underneath you can see an overview of the series.

1. Introduction to machine learning

Illustration of increasing regularization on a model that overfits. Image by author.

Contents

This post is a part of a series of posts that I will be making. You can read a more detailed version of this post on my personal blog by clicking here. Underneath you can see an overview of the series.

1. Introduction to machine learning

A straight line fitted to some data with uncertainty visualized as well. Image by author.

Contents

This post is a part of a series of posts that I will be making. You can read a more detailed version of this post on my personal blog by clicking here. Underneath you can see an overview of the series.

1. Introduction to machine learning

Illustration of how our prior knowledge affects our posterior knowledge. Image by author.

Contents

This post is a part of a series of posts that I will be making. You can read a more detailed version of this post on my personal blog by clicking here. Underneath you can see an overview of the series.

1. Introduction to machine learning

As the dimensionality of data increases, the feature space becomes sparser, and the data is easier to separate. This is the curse of dimensionality in a nutshell.

Contents

This post is a part of a series of posts that I will be making. You can read a more detailed version of this post on my personal blog by clicking here. You can see an overview of the series below.

1. Introduction to machine learning

Illustration of underfitting (left) and overfitting (right).

Contents

This post is a part of a series of posts that I will be making. You can read a more detailed version of this post on my personal blog by clicking here. Underneath you can see an overview of the series

1. Introduction to machine learning

Overview of broad categories in machine learning.

Contents

This post is a part of a series of posts that I will be making. You can read a more detailed version of this post on my personal blog by clicking here. Underneath you can see an overview of the series.

1. Introduction to machine learning

Stefan Hrouda-Rasmussen

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