Difference between revisions of "Step 4"

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# The group will be asked to prepare questions for you  
 
# The group will be asked to prepare questions for you  
 
# There will be a short discussion of your work
 
# There will be a short discussion of your work
 +
=== Help for your slide 3===
 +
# [http://www.machinelearning.ru/wiki/index.php?title=JMLDA/Fig Python and Matlad code for plots]
 +
# [https://www.elsevier.com/researcher/author/tools-and-resources/graphical-abstract Elsevier's graphical abstract]
 +
# [https://www.sciencedirect.com/science/article/pii/S0270929520300498 Visual Abstracts] by Everly Ramos and Beatrice Concepcion, 2020 (also see their references)
 +
# [https://www.elsevier.com/about/policies-and-standards/author/artwork-and-media-instructions Elsevier's Artwork and media instructions]

Revision as of 01:24, 12 October 2024

We are preparing our three-minute talk for the coursework.

The seminar

The warm-up 5-minute test

  1. Singular values decomposition and tensor product with demo (forget to show)
  2. The probabilistic nature of the error function
  3. Homework 2 discussion
  4. Homework 1 discussion

Resources

Step 4 YouTube [video]

Homework

  1. For your selected project write the motivational part using this template for Step 3 (the same link).
  2. Download the link to your homework here (the same link).
  3. Prepare your 3-minute talk:
    1. Write our speech
    2. Practice with a timer
    3. Any inspirational tricks (mirror, forest walking) are welcome

The next seminar

  1. Your slides will be shown (in random order)
  2. You will be asked to deliver your talk
    • The language of slides and of your speech is up to you to decide
  3. The group will be asked to prepare questions for you
  4. There will be a short discussion of your work

Help for your slide 3

  1. Python and Matlad code for plots
  2. Elsevier's graphical abstract
  3. Visual Abstracts by Everly Ramos and Beatrice Concepcion, 2020 (also see their references)
  4. Elsevier's Artwork and media instructions