jermwatt/machine_learning_refined
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
PythonNOASSERTION
Issues
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Exercise 2.1 - Uniform sampling
#29 opened by theundergroundsorcerer - 2
downloading the repository in the form of zip
#30 opened by mehdi-moha - 1
git lfs pull not working
#28 opened by esokada - 6
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conda build failed with matplotlib pinned to v3.1.0 (why OLD version)? Will attempt to float all dependencies to latest...
#25 opened by richlysakowski - 2
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Which version of matplotlib was used?
#23 opened by jflanaga - 1
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Machine Learning 101
#21 opened by yahyaim - 1
Supplementary videos
#20 opened by sergiovasquez122 - 2
solution to exercises?
#13 opened by randomgambit - 1
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Problems with the electronic version on Amazon
#18 opened by ramtob - 1
Example 3.3 Galileo and uniform acceleration
#15 opened by AKJ7 - 1
Text errors/typos in chapter 6, 2nd edition
#16 opened by Rajon010 - 1
Error in Example 3.5
#17 opened by surtich - 1
how to get the solution?
#14 opened by 450703035 - 7
Great work!
#12 opened by TaiChiTiger - 1
Chapter 3.0 page links to Chapter 6.0
#10 opened by 3mrsh - 0
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