Ambervdmeijs
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Summary Analytics B&G 2017/2018 - Exam: all you need to know
This summary is all you need to take with you to the open book exam. Every mandatory subject from the book 'Business Analytics' from James R. Evans plus extra information is in this summary. It tells you how to solve each question step-by-step, including the 'trick questions'. The lectures are known to be confusing and everything is simplified in this summary. Extremely helpful, especially when you have trouble understanding the subjects, or even math. All subjects: probabilities, distribution...
- Boek
- Samenvatting
- • 30 pagina's •
This summary is all you need to take with you to the open book exam. Every mandatory subject from the book 'Business Analytics' from James R. Evans plus extra information is in this summary. It tells you how to solve each question step-by-step, including the 'trick questions'. The lectures are known to be confusing and everything is simplified in this summary. Extremely helpful, especially when you have trouble understanding the subjects, or even math. All subjects: probabilities, distribution...
Data Science: Machine Learning 2017/2018 - Cheatsheet
Voor het tentamen Machine Learning is het toegestaan om een cheatsheet van 1A4 bij te houden. Deze is speciaal gemaakt zodat alle onderwerpen van dit vak uitgebreid zijn beschreven, zoals Decision Trees, Perceptron, Gradient Descent, Feature Engineering, Logistic Regression en Neural Networks. English: for the Machine Learning exam, you are allowed to bring one cheatsheet (1A4) with you. On this cheatsheet, all the necessary information (and more) are on just two sides of paper. The following ...
- Samenvatting
- • 2 pagina's •
Voor het tentamen Machine Learning is het toegestaan om een cheatsheet van 1A4 bij te houden. Deze is speciaal gemaakt zodat alle onderwerpen van dit vak uitgebreid zijn beschreven, zoals Decision Trees, Perceptron, Gradient Descent, Feature Engineering, Logistic Regression en Neural Networks. English: for the Machine Learning exam, you are allowed to bring one cheatsheet (1A4) with you. On this cheatsheet, all the necessary information (and more) are on just two sides of paper. The following ...
Data Science: Machine Learning 2017/2018 - Summary Lectures
Full summary including an introduction of Machine Learning and algorithms, such as Decision Tree, Perceptron, Gradient Descent, Logistic Regression (classifier) and Neural Networks. This summary also includes a section about Feature Engineering. Extra context and illustrations/graphs are also given, which makes this field of study a bit more understandable.
- Samenvatting
- • 32 pagina's •
Full summary including an introduction of Machine Learning and algorithms, such as Decision Tree, Perceptron, Gradient Descent, Logistic Regression (classifier) and Neural Networks. This summary also includes a section about Feature Engineering. Extra context and illustrations/graphs are also given, which makes this field of study a bit more understandable.
Data Science: Machine Learning 2017/2018 - Cheatsheet
Data Science: Machine Learning 2017/2018 - Summary Lectures
This summary made the difference, absolutely (B4 2019-2020).
Data Science: Machine Learning 2017/2018 - Summary Lectures
Data Science: Machine Learning 2017/2018 - Cheatsheet
Data Science: Machine Learning 2017/2018 - Cheatsheet