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Tags: bayesian models / bayesian networks / gaussian models / generalized linear models / kernel methods / kernels / linear models / linear regression / logistic regression / machine learning / mathematics / optimization / probability / statistics

Content Type: Books / Cheat Sheets / Free eBooks / References, Learning Guides, Etc.

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Difficulty Rating:

*Note: this “cheat sheet” is more like a machine learning math reference book!*

This cheat sheet contains many classical equations and diagrams on machine learning, which will help you quickly recall knowledge and ideas in machine learning.

This cheat sheet has three significant advantages:

- Strong typed. Compared to programming languages, mathematical formulas are weakly typed. For example, X can

be a set, a random variable, or a matrix. This causes difficulty in understanding the meaning of formulas. In this

cheat sheet, I try my best to standardize symbols used, see section ยง. - More parentheses. In machine learning, authors are prone to omit parentheses, brackets and braces, this usually

causes ambiguity in mathematical formulas. In this cheat sheet, I use parentheses(brackets and braces) at where

they are needed, to make formulas easy to understand. - Less thinking jumps. In many books, authors are prone to omit some steps that are trivial in his option. But it often

makes readers get lost in the middle way of derivation.

Recommended Prerequisites: advanced mathematics, basic understanding of machine learning

Go to Content: Machine Learning Cheat Sheet

## By Zoro85 May 1, 2017 - 1:14 am

Cheat sheet is quite comprehensive. It would be good to add some examples for each technique from practical application perspective.

Intermediate- comfortable with data science / has relevant prerequisites / familiar with this topicAdvanced Intermediate - had prior experience applying this topic

(2) A Little

No ratings yet.

## By NDerzsy May 29, 2017 - 7:12 pm

This is exactly what I was looking for while preparing for job interviews. I had spent several years on working with practical data analysis and modeling, but forgot on the way many mathematical concepts and definitions. So this cheat sheet is great for those data science questions that are so basic that you should know them, yet so theoretical that you forgot them.

(3) A Good Amount

Advanced Intermediate - had prior experience applying this topic

Advanced- has practical experience with data science & this topic beyond intermediate level / could teach othersDetailed Content Survey:Needed to gain or strengthen general data science knowledge

I have used content from this publisher/series before

Yes

Very little

I had finished learning as much as I wanted to from it at that time