Difference between revisions of "Step 2"

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== The seminar ==
 
== The seminar ==
 
# [https://forms.gle/gcVn8b82o7ybm5kX7 The warm-up 5-minute test]  
 
# [https://forms.gle/gcVn8b82o7ybm5kX7 The warm-up 5-minute test]  
−
# Linear models their role in neural networks and expert mixtures
+
# Linear models, and their role in neural networks
 
# Reporting in the academy and the industry
 
# Reporting in the academy and the industry
 
# Plan the project
 
# Plan the project
−
# Game of planning: the crocodile
+
<!-- # Game of planning: the crocodile -->
 
# If someone did homework, we discuss
 
# If someone did homework, we discuss
  
 
==Resources==
 
==Resources==
−
Step 2 YouTube video (expected with online version)
+
Step 2 YouTube [https://youtube.com/live/O46PQCdtgxM video]
  
 
==Homework==
 
==Homework==
−
# [https://forms.gle/KqhRk9R6w61snAB9A Step 1 homework] reminder
+
# For an industrial project (also known as a computational experiment) description use [https://github.com/vadim-vic/the-Art-homework this template for Step 2] and write your answers to these questions. The variants of these questions and creativity are yours. But please, keep it within 1–2 pages. 
−
# Step 2 homework
+
# Download the link to your homework project plan [https://forms.gle/v6fEGLRWkXJ6UZXi9 here].
−
# Read about polylinear models and tensors
+
# Also, [https://forms.gle/KqhRk9R6w61snAB9A Step 1 homework] reminder
−
+
# Refresh in your memory the matrix decompositions and multilinear models for the next warm-up test, either
−
<!--==Fun==-->
+
## look for [https://en.wikipedia.org/wiki/Singular_value_decomposition Singular value decomposition], [https://en.wikipedia.org/wiki/Principal_component_analysis Principal component analysis], [https://en.wikipedia.org/wiki/Tensor Tensor], [https://en.wikipedia.org/wiki/Multilinear_map Multilinear map], or
 +
## do fun-reading, see [https://mml-book.github.io/book/mml-book.pdf 4.5 Singular Value Decomposition] and 10.5 PCA in High Dimensions, and see [https://klassfeldtheorie.wordpress.com/wp-content/uploads/2018/10/mathematische-methoden-310117.pdf 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 our XLS-progress
 +
 
 +
Minimalistic publication strategy: discuss an example, [https://pdf.sciencedirectassets.com/321199/1-s2.0-S2665963821X00048/1-s2.0-S2665963821000476/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEPn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJGMEQCIDrThmFZWCbeOvCNu41EaIvHTH06oCIvjn0tSweCiR5aAiBYNk1SbdyYtsIpm4O4ca3b6cynkvEqbBqPnd%2B79lSAfyqyBQhCEAUaDDA1OTAwMzU0Njg2NSIMKXKQ71cXLdg0yeYaKo8FkB5eG%2BfYNvmVVgfeADY9t70EeTw8s5tTjYpnu70SEO84z6nno1X7REBaW0eRD9f6QR1d8%2BMrpZJE0NJuxXt%2B%2Bc5jxi8JSYtKX3zrmDjDYT2zltGrGE%2BQTgPUfTYTNgcLnFI1LMJJBWa7liSyGIPDMfLNa2Z4f4JDJykLw7btPikiMl5i3jeAR8QxlVWGXZ9MbGi6knM%2BWDBIaAFNr4MAv63mPXYKA5KtxC7A%2BjZnAJ35Dj5N5Shjm8qUefuE%2Bc7nYzXrn%2FsbpqgaYDs4GigRHW58wZCvMTkj3akDplRIU0UUuy2lZ4%2BBINuaDPHHG9FFI2zGTX7DVTM6dNoyGXREBlq5O%2Fi1nHXplcJ5ap2ux%2FSI1mPp6TomNYPsP1X6NhgUGkGzMugfD%2FZGyXRky%2Fwr9NFEcv7ggPo18f%2BJdIYRLepEzCEw6k8LWRUdNGTYQIyRuMfLEujXCUrM9fi7u1eWuiOJAq7YpMJ61tSwf9ZFHIHa%2Bx2ZAk1VkwWbSeo3eCcUCr7vGj4GhV53qcTW8N%2Bx1ltbhUD6jodqMxmgMNBVeRxYRC%2FP5zTgFRtMlREj4%2BPfuZabLUN%2BYLS9svz0KdV0PsW0khbg%2BmIWpJaG1JN%2F4Vw4QUMulNsWAlRHNKDnfPCDBCCFQt17nUVt1qjjbtjTJyB2LCOBpfV%2FtnTlNNY%2F1NVI9S6IVmgoSBQ6OoAtf2CYa5Em0jqHxLMhYgCPitvEFHCG5FTaLmFjAlXD%2BKneUqMbfC7%2B%2FVdyVv875BGguPTKcWpdSvNTSHkjk9cfcMb6KJQ7NkwcBNTmgfq2iKLrtIVeNzRLZ4vw%2ByHWkcZlDt%2F8NI9Ii9keYQ%2F%2FVSbYeaRvbeTywhuRslAD4Ny9FkwjVzC7id%2B3BjqyAdiuj7cJP5yyfup9K5v5kjyl6YjTLt9osyOAh4n0uVPWBlDDM8I6BG8J%2FbVvInWBEUcdZaMuh0v5Y5juFwvfZiMJ4EYQZX81qeabhDcRYwc%2B0U26NiyuqzaJ%2F948x2kqfqj%2Bi2y%2FIwlF%2FV8Gk8srIyZJI4bZ0Knmp3Yrs5SYTXQ8hJNFsE8bT1Jcdqfn8F9y9HAfHjNGqIRT3J6okkn83mDM9tcQCarIhe9VbCMW%2BWfSyYE%3D&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20240928T095522Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTY43YVB4GR%2F20240928%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=3900e591a602604da22b7bdefc561c3f60deb99dc5b38cf8a994e38b2def33f8&hash=4ad93df6a9910d1a518ddfbd5e635cb6ce998b359ab40ff56c527bd1e80d59c1&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S2665963821000476&tid=spdf-b30fc9a6-6ca2-41b4-b108-0034b1d38049&sid=69df782947dcc5418b5b056681d86f51612agxrqb&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=1c175f020750070657085c&rr=8ca2db7f3d1a70ef&cc=fr PDF] and [https://doi.org/10.1016/j.simpa.2021.100119 DOI] with highlights
 +
 
 
==Transcript of the video==
 
==Transcript of the video==
 
Appears after the seminar.
 
Appears after the seminar.

Latest revision as of 17:18, 9 November 2024

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.

The seminar

  1. The warm-up 5-minute test
  2. Linear models, and their role in neural networks
  3. Reporting in the academy and the industry
  4. Plan the project
  5. If someone did homework, we discuss

Resources

Step 2 YouTube video

Homework

  1. For an industrial project (also known as a computational experiment) description use this template for Step 2 and write your answers to these questions. The variants of these questions and creativity are yours. But please, keep it within 1–2 pages.
  2. Download the link to your homework project plan here.
  3. Also, Step 1 homework reminder
  4. Refresh in your memory the matrix decompositions and multilinear models for the next warm-up test, either
    1. look for Singular value decomposition, Principal component analysis, Tensor, Multilinear map, or
    2. 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.

  1. Banking credit scoring
  2. Churn prediction
  3. Next year's cash-flow forecasting
  4. Electricity consumption forecasting
  5. Customer demand forecasting
  6. Flood prediction
  7. Ranking
  8. Informational retrieval
  9. Click-through rate prediction
  10. 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 our XLS-progress

Minimalistic publication strategy: discuss an example, PDF and DOI with highlights

Transcript of the video

Appears after the seminar.

Retrieved from ‘https://m1p.org/index.php?title=Step_2&oldid=1852’