@KirkDBorne: "Pen and Paper Exercises in Machine Learning" Download 211-page PDF: http://arxiv.org/abs/2206.13446 Author’s GitHub: h…
Summary
This paper provides a 211-page collection of pen-and-paper exercises covering key topics in machine learning, including linear algebra, optimisation, graphical models, and variational inference, intended as an educational resource.
View Cached Full Text
Cached at: 07/04/26, 04:49 PM
“Pen and Paper Exercises in Machine Learning” Download 211-page PDF: http://arxiv.org/abs/2206.13446 Author’s GitHub: https://github.com/michaelgutmann/ml-pen-and-paper-exercises… ————— #DataScientist #AI #ML #DataScience
Pen and Paper Exercises in Machine Learning
Source: https://arxiv.org/abs/2206.13446 View PDF
Abstract:This is a collection of (mostly) pen-and-paper exercises in machine learning. The exercises are on the following topics: linear algebra, optimisation, directed graphical models, undirected graphical models, expressive power of graphical models, factor graphs and message passing, inference for hidden Markov models, model-based learning (including ICA and unnormalised models), sampling and Monte-Carlo integration, and variational inference.
Submission history
From: Michael Gutmann [view email] **[v1]**Mon, 27 Jun 2022 16:53:18 UTC (1,679 KB)
Similar Articles
@KirkDBorne: [Download 585-page PDF eBook] Game Theory: http://arxiv.org/abs/1512.06808 ————— #GameTheory #Gamification #Mathematics…
A 585-page open-access PDF textbook on game theory from arXiv, containing 165 solved exercises.
@KirkDBorne: Machine Learning Refined — Foundations, Algorithms, and Applications (with 100 in-depth coding exercises in Python): ht…
Promotion of the book 'Machine Learning Refined' by Kirk Borne, covering ML foundations with Python coding exercises.
@KirkDBorne: Get "Mathematics of Machine Learning" here: http://amzn.to/4eN7i52 by @TivadarDanka v/ @PacktDataML — GitHub: http://gi…
Review of the book 'Mathematics of Machine Learning' by Tivadar Danka, covering mathematical foundations for AI and machine learning with practical Python examples and Jupyter notebooks.
@KirkDBorne: AI and ML Papers Explained (HUGE list): https://github.com/dair-ai/ML-Papers-Explained… Compiled by @omarsar0 @dair_ai …
A tweet sharing a GitHub repository that compiles explanations for key machine learning papers, such as Transformer, BERT, and GPT, for educational purposes.
@KirkDBorne: Python Machine Learning By Example: http://amzn.to/3MczBwk v/ @PacktDataML + GitHub: http://github.com/PacktPublishin… …
Promotion for the fourth edition of 'Python Machine Learning By Example' by Yuxi (Hayden) Liu, covering best practices and advanced ML techniques with TensorFlow, PyTorch, and scikit-learn.