https://github.com/jermwatt/machine_learning_refined

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
https://github.com/jermwatt/machine_learning_refined

artificial-intelligence autograd collab data-science deep-learning jax jupyter-notebook lecture-notes machine-learning machine-learning-algorithms mathematical-optimization neural-network numpy python slides

Last synced: about 15 hours ago
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Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

• Host: GitHub
• URL: https://github.com/jermwatt/machine_learning_refined
• Owner: neonwatty
• License: other
• Created: 2016-08-12T14:13:30.000Z (about 8 years ago)
• Default Branch: main
• Last Pushed: 2024-09-27T15:27:31.000Z (about 1 month ago)
• Last Synced: 2024-11-04T22:11:35.560Z (4 days ago)
• Topics: artificial-intelligence, autograd, collab, data-science, deep-learning, jax, jupyter-notebook, lecture-notes, machine-learning, machine-learning-algorithms, mathematical-optimization, neural-network, numpy, python, slides
• Language: Python
• Homepage:
• Size: 907 MB
• Stars: 1,694
• Watchers: 77
• Forks: 609
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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