add 3.3 notebook top ten paper

[ken-maeda]

Pull Request Checklist

From https://github.com/TDAmeritrade/stumpy/issues/85, I add Discovering motifs under uniform scaling tutorial from 3.3 of The Matrix Profile Top Ten paper. Add docs/Tutorial_Top_Ten_3.ipynb

• [x] Fork, clone, and checkout the newest version of the code
• [x] Create a new branch
• [x] Make necessary code changes
• [ ] Install black (i.e., python -m pip install black or conda install -c conda-forge black)
• [ ] Install flake8 (i.e., python -m pip install flake8 or conda install -c conda-forge flake8)
• [ ] Install pytest-cov (i.e., python -m pip install pytest-cov or conda install -c conda-forge pytest-cov)
• [ ] Run black . in the root stumpy directory
• [ ] Run flake8 . in the root stumpy directory
• [ ] Run ./setup.sh && ./test.sh in the root stumpy directory
• [ ] Reference a Github issue (and create one if one doesn't already exist)

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Codecov Report

Base: 99.89% // Head: 99.89% // No change to project coverage :thumbsup:

Coverage data is based on head (419366e) compared to base (cd9c3ff). Patch has no changes to coverable lines.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #676   +/-   ##
=======================================
  Coverage   99.89%   99.89%           
=======================================
  Files          80       80           
  Lines       11453    11453           
=======================================
  Hits        11441    11441           
  Misses         12       12           

Impacted Files	Coverage Δ
stumpy/core.py	100.00% <0.00%> (ø)

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[seanlaw]

@ken-maeda This looks a lot better already! @NimaSarajpoor would you like to review as well?

[NimaSarajpoor]

@NimaSarajpoor would you like to review as well?

Yes, I will review it soon :)