Machine Learning

Erasmus Universiteit Rotterdam (EUR)

Here are the best resources to pass Machine Learning. Find Machine Learning study guides, notes, assignments, and much more.

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Summaries for Master Econometrics and Management Science - Logistics and Operations Research Specialization

Summaries for Master Econometrics and Management Science - Logistics and Operations Research Specialization
Package deal • 8 items • 2022

This bundle is ideal for all students that study Econometrics and Management Science that take the specialization of Logistics and Operations Research. It contains summaries for all the six courses that you have to take in the Master. I attended all lectures and read all compulsory readings, which the summaries are based on.

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Machine Learning - summary and readings
Package deal • 2 items • 2022

This bundle provides you with both a summary on the course content (lectures) and a summary of all compulsory readings.

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$15.11
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Summary of all compulsory readings - Machine Learning

Summary of all compulsory readings - Machine Learning
Summary • 17 pages • 2022
Available in package deal

In the course Machine Learning, we had to read a lot. It took me quite some time, and luckily I wrote a summary while reading, so here you are! It summarizes all compulsory readings, but it's still a lot. However, it really helped me to obtain a great score for my exam.

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Summary Machine Learning
Summary • 5 pages • 2022
Available in package deal

This document provides a concise but complete summary of the course contents of Machine Learning as thaught at the Erasmus University.

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$9.06
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Machine Learning summary
Summary • 5 pages • 2022

In this document you can find a short summary for each week of the course Machine Learning in the Econometrics master program at the EUR. I made the summary from my lecture notes. A reading summary for the supplementary readings can be found in another document (and can be bought together with this one in a bundle). Please note that week 7 is not included as in my study year this was not part of the exam material.