Datasciencestudent
On this page, you find all documents, package deals, and flashcards offered by seller datasciencestudent.
- 15
- 0
- 3
Community
- Followers
- Following
2 Reviews received
18 items
Class notes of Foundations of Artificial Intelligence 2022-2023
This summary contains class notes made during the lecture, a summary of the provided slides, and images to elaborate on the subject.
- Class notes
- • 24 pages •
This summary contains class notes made during the lecture, a summary of the provided slides, and images to elaborate on the subject.
Class notes of Philosophy and Ethics for Data Science 2022-2023
This summary contains class notes from the lectures and a summary of the provided slides.
- Class notes
- • 12 pages •
This summary contains class notes from the lectures and a summary of the provided slides.
Business Insight and Law &Data Science Bundle
A bundle containing my class notes on the courses Business Insights and Law & Data Science. Both are Q1 courses at the Eindhoven University of Technology. This bundle was made by request.
- Package deal
- • 2 items •
- Law and Data Science JBL120 Class Notes Summary • Class notes
- Class notes Business Insights (JBE140) • Class notes
A bundle containing my class notes on the courses Business Insights and Law & Data Science. Both are Q1 courses at the Eindhoven University of Technology. This bundle was made by request.
Mandatory courses Bcs Data Science
This bundle consists of all the summaries on my profile that are about mandatory courses in the Data Science bachelor.
- Package deal
- • 9 items •
- Summary of Foundation of Computing • Summary
- Glossary of DAE 2020 • Other
- Summary of the DAE lectures 2020 • Summary
- Summary of Business Analytics • Class notes
- Law and Data Science JBL120 Class Notes Summary • Class notes
- And more ….
This bundle consists of all the summaries on my profile that are about mandatory courses in the Data Science bachelor.
Class notes of all lectures of Data Intensive Systems and Applications
This file contains the notes of all the lectures from O. Papapetrou on this subject. It does not contains the extra lecture with an explanation of lambda expressions. It also does not contain the additional slides. It does contain extra comments the teacher made during the lectures.
- Class notes
- • 20 pages •
This file contains the notes of all the lectures from O. Papapetrou on this subject. It does not contains the extra lecture with an explanation of lambda expressions. It also does not contain the additional slides. It does contain extra comments the teacher made during the lectures.
Data Mining and Machine Learning (2IIG0): summary
This document contains a summary with all the necessary functions for you to know for the exam. It includes the notes made by the teacher in the online lectures that are not on the slides. It only includes the first part of the Data Fusion lecture. And there is nothing about How to Lie with Data, because I feel like this is just common sense.
- Summary
- • 22 pages •
This document contains a summary with all the necessary functions for you to know for the exam. It includes the notes made by the teacher in the online lectures that are not on the slides. It only includes the first part of the Data Fusion lecture. And there is nothing about How to Lie with Data, because I feel like this is just common sense.
Cognitive Science 2: Summary of lectures
This document contains my notes and a summary of the lectures given by Chris Emmery in the course Cognitive Science 2 in Quartile 2 of the year 2021-2022. The course has been renewed before the start of this year, so it is the first time this format is taught. The mentioned equations are mentioned in the document as well, but no detailed explanations of the algorithms that are used in the labsessions. Only theoretical explanations.
- Package deal
- Class notes
- • 12 pages •
This document contains my notes and a summary of the lectures given by Chris Emmery in the course Cognitive Science 2 in Quartile 2 of the year 2021-2022. The course has been renewed before the start of this year, so it is the first time this format is taught. The mentioned equations are mentioned in the document as well, but no detailed explanations of the algorithms that are used in the labsessions. Only theoretical explanations.
Class Notes Data Structures (2IL50 2020-2021)
Class notes on the lectures of Data Structures given by Prof. Dr. Bettina Speckmann. In the notes, there are images of the important algorithms mentioned in the lecture and all important computation.
- Class notes
- • 33 pages •
Class notes on the lectures of Data Structures given by Prof. Dr. Bettina Speckmann. In the notes, there are images of the important algorithms mentioned in the lecture and all important computation.
All summaries of Data Science Research Methods (JBM020 2020-2021)
This contains both documents that are a summary of the course. One is the longer, detailed version of the lecture notes. The other one is a summary of these lecture notes. It only has the most important terms and computations in it. These are all important things to know for the exam.
- Package deal
- • 2 items •
This contains both documents that are a summary of the course. One is the longer, detailed version of the lecture notes. The other one is a summary of these lecture notes. It only has the most important terms and computations in it. These are all important things to know for the exam.
Summary of class notes on Data Science Research Methods (JBM020 2020-2021)
This document is a summary of the class notes that are also in this Stuvia. It is more organized and contains all main elements of the lectures and reading material.
- Package deal
- Summary
- • 13 pages •
This document is a summary of the class notes that are also in this Stuvia. It is more organized and contains all main elements of the lectures and reading material.
Class notes of Philosophy and Ethics for Data Science 2022-2023
Glossary of DAE 2020