This week’s topics
Evaluation of Analytical Frameworks
- Statistical inference vs machine learning
- Supervised and unsupervised methodologies
- Business problem-solution alignment
- Supervised vs. Unsupervised Learning
- Problem Definition and Data Collection in ML
- From Data to Decisions: Advanced Analytics & AI in Supply Planning
- Introduction to Basic and Advanced Techniques in Machine Learning
- Machine Learning: Classification Terminology and Basics
What you will be able to do
- 1.2 Critically evaluate the use of data analytic methods.
- 1.3 Summarise the importance of data analytics for businesses.
Activity
Start with this week’s 5 videos, then: Seminar, guided reading and a short written task: critically evaluate the use of data analytic methods.
Study materials
Videos
- Supervised vs. Unsupervised Learning · YouTube · IBM Technology · 7 min · for registered students
- Problem Definition and Data Collection in ML · YouTube · Neso Academy · 23 min · for registered students
- From Data to Decisions: Advanced Analytics & AI in Supply Planning · YouTube · MIT Center for Transportation & Logistics · 45 min · for registered students
- Introduction to Basic and Advanced Techniques in Machine Learning · YouTube · TU Delft · 5 min · for registered students
- Machine Learning: Classification Terminology and Basics · YouTube · TU Delft · 5 min · for registered students
Further resources
- Foundations of Information Systems, ch. 8: Data Analytics and Modeling · PDF · OpenStax, textbook chapter; pp. 297–338 · for registered students
- Dive into Deep Learning (Zhang, Lipton, Li & Smola), ch. 1: Introduction · PDF · Other, textbook chapter; pp. 1–29 · for registered students
- Principles of Data Science, ch. 6: Decision-Making Using Machine Learning Basics · PDF · OpenStax, textbook chapter; pp. 275–340 · for registered students
Materials marked “for registered students” open in the student portal, which is set up as soon as you receive final acceptance.
