More Fun Math Problems for Machine Learning Practitioners

More Fun Math Problems for Machine Learning Practitioners

This is part of a series featuring the following aspects of machine learning:

This issue focuses on cool math problems that come with data sets, source code, and algorithms. See previous article here. Many have a statistical, probabilistic or experimental flavor, and some are dealing with dynamical systems. They can be used to extend your math knowledge, practice your machine learning skills on original problems, or for curiosity. My articles, posted on Data Science Central, are always written in simple English and accessible to professionals with typically one year of calculus or statistical training, at the undergraduate level. They are geared towards people who use data but are interesting in gaining more practical analytical experience. The style is compact, geared towards people who do not have a lot of free time. 

Despite these restrictions, state-of-the-art, of-the-beaten-path results as well as machine learning trade secrets and research material are frequently shared. References to more advanced literature (from myself and other authors) is provided for those who want to dig deeper in the interested topics discussed. 

Read full article here.

Lillian Pierson, P.E.

Fractional CMO - Marketing Strategist, Leader & Advisor (B2B Tech) | Author of "The Data & AI Imperative: Designing Strategies for Exponential Growth" | Supported 10% of Fortune 100 | Educated ~2 Mil data & AI learners

3 年

Thanks for sharing great resources, Vincent!

jose felizco

Senior Technical Consultant at ISOlead M.Consulting & Learning Services

3 年

We need to have strong fundamentals in abstract mathematics and econometrics and non normal probability distribution's statistical methods eg kolmogorov smirnov, etc

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If I count correctly, are those 50 pips on the dice on the right hand side there?

I count total 13 bills on the right hand side on this picture.

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