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ShadowAether
ShadowAether@sh.itjust.works
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2 years ago
39 posts • 1 comments
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1
Introduction to Kernel Methods for Machine Learning
(seis.bristol.ac.uk)
posted
1 year ago
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ShadowAether@sh.itjust.works
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learnmachinelearning@sh.itjust.works
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The Kernel Cookbook: Advice on Covariance functions
(www.cs.toronto.edu)
posted
1 year ago
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ShadowAether@sh.itjust.works
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learnmachinelearning@sh.itjust.works
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An Intuitive Tutorial to Gaussian Processes Regression
(arxiv.org)
posted
1 year ago
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learnmachinelearning@sh.itjust.works
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Vol 9 Soundtrack Released
(open.spotify.com)
posted
1 year ago
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rwby@sh.itjust.works
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[Resource] Understanding UMAP - Google PAIR
(pair-code.github.io)
posted
1 year ago
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ShadowAether@sh.itjust.works
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[Resource] MIT OpenCourseWare: Introduction To Machine Learning
(ocw.mit.edu)
posted
1 year ago
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ShadowAether@sh.itjust.works
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[Resource] Style Guide for Python Code: PEP 8
(peps.python.org)
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1 year ago
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[Resource] MIT OpenCourseWare: Statistical Learning Theory
(ocw.mit.edu)
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1 year ago
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ShadowAether@sh.itjust.works
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[Resource] MIT OpenCourseWare: Mathematics Of Machine Learning
(ocw.mit.edu)
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1 year ago
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[Resource] Durham University Materials for COMP3547 (Deep Learning) and COMP3667 (Reinforcement Learning) from Dr. Robert Lieck
(github.com)
posted
1 year ago
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ShadowAether@sh.itjust.works
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2 years ago
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main@sh.itjust.works
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(Beehaw.org) ANNOUNCEMENT: defederating effective immediately from lemmy.world and sh.itjust.works
Also beehaw doesn’t appear on the community browser
https://browse.feddit.de/
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