Liekebuuron
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Summary Machine Learning
English Summary of Machine Learning course of Master Data Science and Society at Tilburg University. A summary of lecture materials, readings, and notes.
- Summary
- • 61 pages •
English Summary of Machine Learning course of Master Data Science and Society at Tilburg University. A summary of lecture materials, readings, and notes.
Summary Data Mining for Business and Governance
English summary of the Data Mining fro Business and Governance course from Master in Data Science and Society. Summary of lecture materials, readings, and notes.
- Summary
- • 66 pages •
English summary of the Data Mining fro Business and Governance course from Master in Data Science and Society. Summary of lecture materials, readings, and notes.
Data Science Regulation and Law
English summary of Data Science Regulation and Law from the Master of Data Science and Society. Summary of the full course (full semester). Summary includes information from the slides of the lectures, the readings, and notes taken during lectures.
- Summary
- • 78 pages •
English summary of Data Science Regulation and Law from the Master of Data Science and Society. Summary of the full course (full semester). Summary includes information from the slides of the lectures, the readings, and notes taken during lectures.
Deep Learning summary
Deep Learning summary of lecture slides and notes/extra information from lectures. The summary includes a lot of pictures to make content more clear.
- Summary
- • 70 pages •
Deep Learning summary of lecture slides and notes/extra information from lectures. The summary includes a lot of pictures to make content more clear.
Pre-master data science & society (fall semester)
Summaries of the courses from the pre-master data science & society fall semester. The bundle includes summaries of the following courses: Introduction to AI, Methodology for DSS, Multi-agent systems, and Statistics and Methodology. The summaries include course materials, course notes and programming in R and NetoLogo explanations.
- Package deal
- • 4 items •
- Statistics and methodology summary • Summary
- Multi-Agent systems summary • Summary
- Methodology for DSS summary • Summary
- Introduction to AI summary • Summary
Summaries of the courses from the pre-master data science & society fall semester. The bundle includes summaries of the following courses: Introduction to AI, Methodology for DSS, Multi-agent systems, and Statistics and Methodology. The summaries include course materials, course notes and programming in R and NetoLogo explanations.
Introduction to AI summary
Elaborate summary of the introduction to AI course in the Pre-master data science and society. Includes the course materials as well as additions from the book and extra explanations about the calculations.
- Package deal
- Summary
- • 65 pages •
Elaborate summary of the introduction to AI course in the Pre-master data science and society. Includes the course materials as well as additions from the book and extra explanations about the calculations.
Methodology for DSS summary
Summary of Methodology for DSS. Materials of the course are summarised in this document.
- Package deal
- Summary
- • 57 pages •
Summary of Methodology for DSS. Materials of the course are summarised in this document.
Multi-Agent systems summary
Summary multi-agent systems course of pre-master data science and society. Elaborate summary including theory and practical information about the course. The practical information consists of how to apply the theory in NetLogo.
- Package deal
- Summary
- • 50 pages •
Summary multi-agent systems course of pre-master data science and society. Elaborate summary including theory and practical information about the course. The practical information consists of how to apply the theory in NetLogo.
Statistics and methodology summary
Elaborate summary of statistics and methodology given course given in pre-master data science & society. The summary includes explanation about the materials of the course as well as explanation about how to do the discussed calculations and models in R.
- Package deal
- Summary
- • 65 pages •
Elaborate summary of statistics and methodology given course given in pre-master data science & society. The summary includes explanation about the materials of the course as well as explanation about how to do the discussed calculations and models in R.
English summary of Management Control Systems, Merchant & van der Stede
Summary includes chapters 1 - 12, 16, 17, additional readings: Kris, Spekle & Wildener (2016), Arjalies, D-L., & Mundy J. (2013) and Simions' level of control. This is a comprehensive summary of 44 pages including pictures and graphs from the book.
- Book
- Summary
- • 44 pages •
Summary includes chapters 1 - 12, 16, 17, additional readings: Kris, Spekle & Wildener (2016), Arjalies, D-L., & Mundy J. (2013) and Simions' level of control. This is a comprehensive summary of 44 pages including pictures and graphs from the book.
Summary Machine Learning
Summary Machine Learning
Deep Learning summary
Summary Machine Learning
Introduction to AI summary