Introduction to Data Science

Tilburg University (UVT)

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Lecture notes Introduction to Data Science Unsupervised Learning (Lecture 6-9) (UvT)
  • Lecture notes Introduction to Data Science Unsupervised Learning (Lecture 6-9) (UvT)

  • Notes de cours • 32 pages • 2021
  • Study: Bachelor Psychology Tilburg University Major/minor: Psychological Methods and Data Science/Applied Advanced Research Methods Course: Introduction to Data Science 2020/2021 (jaar 3) Professor: Kim de Roover Based on: Lectures and slides This course is divided in two parts: 1. Supervised learning 2. Unsupervised learning This summary covers the second topic.
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Lecture notes Introduction to Data Science Supervised learning (lecture 1-5) (UvT)
  • Lecture notes Introduction to Data Science Supervised learning (lecture 1-5) (UvT)

  • Notes de cours • 51 pages • 2021
  • Study: Bachelor Psychology Tilburg University Major/minor: Psychological Methods and Data Science/Applied Advanced Research Methods Course: Introduction to Data Science 2020/2021 (jaar 3) Professor: Kyle Lang Based on: Lectures and slides This course is divided in two parts: 1. Supervised learning 2. Unsupervised learning This summary covers the second topic.
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Summary of Introduction to Data Science course Summary of Introduction to Data Science course
  • Summary of Introduction to Data Science course

  • Resume • 22 pages • 2019
  • This document presents an in depth summary of the Introduction to Data Science course within the Cognitive Science and Artificial Intelligence bachelor program at Tilburg University. This summary covers the basic topics of Machine Learning and Data Science, such as Supervised and Supervised learning at an intermediate level. It also provides clear explanations of the most used algorithms in ML, both for Classification and Regression analysis in Supervised Learning and clustering and dimensional...
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