Tilburg University (UVT) • Data Science: Business & Governance
Latest uploads for Data Science: Business & Governance at Tilburg University (UVT). Looking for Data Science: Business & Governance notes at Tilburg University (UVT)? We have lots of notes, study guides and revision notes available for Data Science: Business & Governance at Tilburg University (UVT).
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Modules Data Science: Business & Governance at Tilburg University (UVT)
Notes available for the following courses of Data Science: Business & Governance at Tilburg University (UVT)
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Analytics for Business & Governance 1
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Analytics for Business and Governance 2
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Attention, perception, and memory 1
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Business Analytics & Emerging Trends 2
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Corporate Communication 1
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Data mining 880022 2
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Data Mining for Business and Governance 1
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Data Processing 1
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Data Regulation and Law 1
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Data Science Regulation & Law 2
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Data Science: Sustainability, Privacy and Security 1
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Enterprise Governance and Digital Transformation 1
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Health Analytics 1
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Machine learning 6
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Social Data Mining 3
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Social signal Processing 1
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Statistics 1
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Statistics and methodology 1
Latest notes & summaries Tilburg University (UVT) • Data Science: Business & Governance
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...
- Book
- Summary
- • 30 pages's •
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Tilburg University•Analytics for Business & Governance
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Business Analytics • James R. Evans• ISBN 9780132950619
Preview 3 out of 30 pages
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...
For the Machine Learning exam it is allowed to keep a cheat sheet of 1A4. This is specially made so that all subjects of this course are described in detail, such as Decision Trees, Perceptron, Gradient Descent, Feature Engineering, Logistic Regression and Neural Networks. You are allowed to bring cheat sheet (1A4) with you. On this cheat sheet, all the necessary information (and more) are available on just two sides of paper. The following subjects are included: Decision Trees, Perceptron, Grad...
- Summary
- • 2 pages's •
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Tilburg University•Machine Learning
Preview 1 out of 2 pages
For the Machine Learning exam it is allowed to keep a cheat sheet of 1A4. This is specially made so that all subjects of this course are described in detail, such as Decision Trees, Perceptron, Gradient Descent, Feature Engineering, Logistic Regression and Neural Networks. You are allowed to bring cheat sheet (1A4) with you. On this cheat sheet, all the necessary information (and more) are available on just two sides of paper. The following subjects are included: Decision Trees, Perceptron, Grad...
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.
- Summary
- • 32 pages's •
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Tilburg University•Machine Learning
Preview 3 out of 32 pages
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.
Very detailed summary of Data Regulation and Law. The lectures as well as the readings are included.
- Summary
- • 20 pages's •
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Tilburg University•Data Regulation and Law
Preview 3 out of 20 pages
Very detailed summary of Data Regulation and Law. The lectures as well as the readings are included.
all about what facotrial ANOVA, independent t-test, one-way ANOVA, two-way ANOVA, One-samples t-test, dependent t-test. How to perform them, when to perform them en how to report them. Based on the book Discovering Statistics Using SPSS of Andy Field.
- Book
- Summary
- • 19 pages's •
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Tilburg University•Statistics
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Discovering Statistics Using IBM SPSS Statistics • Andy Field• ISBN 9781446249185
Preview 3 out of 19 pages
all about what facotrial ANOVA, independent t-test, one-way ANOVA, two-way ANOVA, One-samples t-test, dependent t-test. How to perform them, when to perform them en how to report them. Based on the book Discovering Statistics Using SPSS of Andy Field.
based on the book Corporate Communication of Joep P. Cornelissen. The summary entails chapter 1 till 8 and chapter 13.
- Book
- Summary
- • 12 pages's •
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Tilburg University•Corporate Communication
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Corporate Communication • Joep P. Cornelissen• ISBN 9781473953703
Preview 2 out of 12 pages
based on the book Corporate Communication of Joep P. Cornelissen. The summary entails chapter 1 till 8 and chapter 13.
in the summary the differences between privacy and data protection are well explained. Furthermore, all lectures and articles that had to be read for lectures, including the 7 principles. Using this summary, I completed the course with an 8.5
- Summary
- • 27 pages's •
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Tilburg University•Data Science: Sustainability, Privacy and Security
Preview 3 out of 27 pages
in the summary the differences between privacy and data protection are well explained. Furthermore, all lectures and articles that had to be read for lectures, including the 7 principles. Using this summary, I completed the course with an 8.5
Complete and comprehensive summary of the basic principles of machine learning, including k-nn, decision trees, perceptron, gradient descent, logistic regression and neural networks. Includes illustrations for clarification. from 2016-2017.
- Package deal
- Summary
- • 14 pages's •
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Tilburg University•machine learning
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DATA SCIENCE STUDY BUNDLE (2016-2017)• By 6048502
Preview 2 out of 14 pages
Complete and comprehensive summary of the basic principles of machine learning, including k-nn, decision trees, perceptron, gradient descent, logistic regression and neural networks. Includes illustrations for clarification. from 2016-2017.
Comprehensive and complete summary for the module Analytics for Business & Governance. Including explanation about applications in Solver and linear programming. from 2016-2017.
- Book & Paket-Deal
- Summary
- • 20 pages's •
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Tilburg University•Analytics for Business and Governance
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Business Analytics • James R. Evans• ISBN 9781292095448
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DATA SCIENCE STUDY BUNDLE (2016-2017)• By 6048502
Preview 3 out of 20 pages
Comprehensive and complete summary for the module Analytics for Business & Governance. Including explanation about applications in Solver and linear programming. from 2016-2017.
Very comprehensive and complete summary for all material, literature and lectures for the course Data Science Regulation & Law of 2016-2017.
- Package deal
- Summary
- • 44 pages's •
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Tilburg University•Data Science Regulation & Law
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DATA SCIENCE STUDY BUNDLE (2016-2017)• By 6048502
Preview 4 out of 44 pages
Very comprehensive and complete summary for all material, literature and lectures for the course Data Science Regulation & Law of 2016-2017.