Boekverslagen Econometrie @EUR

€12,99

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

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• 2 items •
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Summary Machine Learning • Samenvatting
Summary of all compulsory readings - Machine Learning • Samenvatting

Stochastic Models and optimization - Summary

€7,99

This document provides a concise but complete summary for the course Stochastic Models and Optimization. I also wrote a down a list of formulas and definitions, please check out this document too (or the bundle).

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• 5 pagina's •
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Stochastic Models and optimization - Formulas and definitions

€5,49

This document provides a complete list of formulas and definitions for the course Stochastic Models and Optimization. I also wrote a summary, please check out this document too (or the bundle).

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• 5 pagina's •
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Optimization under Uncertainty summary

€7,99

2x verkocht

This document provides a complete summary of the course Optimization under Uncertainty. Personally, I really enjoyed this course, and the summary is based on the lectures, slides and the reading stuff in the downloads. The last two pages add some last reminders I wrote down for myself to remember right before taking the exam. Good luck!

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• 7 pagina's •
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Summary lectures Mathematical Programming

€5,99

This document provides a concise but complete summary on the course Mathematical Programming as taught by Spliet.

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• 2 pagina's •
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Summary of all compulsory readings - Machine Learning

€10,49

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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• 17 pagina's •
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Summary Machine Learning

€7,99

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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Samenvatting
• 5 pagina's •
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Summary Algorithm Design

€4,99

This document provides a summary of all matter that you need to know to pass the course Algorithm Design. Exercises are not included but highly recommended.