Step 2
What is the difference between academic and industrial research projects? It is the focus. Narrow focus boosts the quality of a project and spares time. Applied scientists connect academic and industrial parts in theory and computational experiments. To narrow an industrial project one has to make a clear implementation plan. We discuss basic questions that an analyst and an expert discuss before planning.
Contents
The seminar
- The warm-up 5-minute test
- Linear models their role in neural networks and expert mixtures
- Reporting in the academy and the industry
- Plan the project
- If someone did homework, we discuss
Resources
Step 2 YouTube video (expected with online version)
Homework
- For an industrial project (also known as a computational experiment) description use this template and either in your LaTeX or PDF document write your answers to these questions. The variants of these questions and creativity are yours. But please, keep it within 1–2 pages.
- Also, Step 1 homework reminder
- Refresh in your memory the matrix decompositions and multilinear models for the next warm-up test, either
- look for Singular value decomposition, Principal component analysis, Tensor, Multilinear map, or
- do fun-reading, see 4.5 Singular Value Decomposition and 10.5 PCA in High Dimensions, and see L11-4, L11.5
Examples of industrial projects
For your homework, please describe one of your projects as an analyst or expert. Note that industrial projects and scientific computational experiments have many common items in their structures.
- Banking credit scoring
- Churn prediction
- Next year's cash-flow forecasting
- Electricity consumption forecasting
- Customer demand forecasting
- Flood prediction
- Ranking
- Informational retrieval
- Click-through rate prediction
- Voting and expert estimations
This list includes some b2c problems. You can pick up yours in this area or others.
Fun
Ask: if someone would like to help with sharing the XLS-progress
Transcript of the video
Appears after the seminar.