pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy (by probml)
mml-book
By mml-book
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pml-book
Posts with mentions or reviews of pml-book.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-13.
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Sunt AI Research Scientist, AMA
Una cunoscuta pe 'reinforced learning': https://web.stanford.edu/class/psych209/Readings/SuttonBartoIPRLBook2ndEd.pdf Doua foarte recente: https://github.com/probml/pml-book/releases/tag/2022-08-08 https://github.com/probml/pml2-book/releases/tag/2022-12-24
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Hi, what are the advanced courses/books in machine learning and neural nets? And where do I find them?
Kevin Murphy - Probabilistic Machine Learning
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Mitchell's Machine Learning book now is free
I don't know about this book, but there are August 2022 PDFs of "Probabilistic Machine Learning : An Introduction" and "Probabilistic Machine Learning : Advanced Topics" by Kevin Murphy available here: https://github.com/probml/pml-book
Is that recent enough?
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How can I learn Probability and Statistics theory so that I can read ML papers?
Check these out: https://github.com/probml/pml-book
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[Q] Is there a statistics 'bible'?
Diff from 2012 book, directly from the books website
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“Probabilistic Machine Learning” – A Book Series by Kevin Murphy
"This version is being sent to MIT Press, and will appear in hard copy late 2021/ early 2022."
https://github.com/probml/pml-book/releases/tag/camera
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[R] The Modern Mathematics of Deep Learning
If you want to have better interactions with the readers, then you can consider creating a GitHub repository for the book (e.g., https://github.com/probml/pml-book and https://github.com/mml-book/mml-book.github.io).
mml-book
Posts with mentions or reviews of mml-book.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-12.
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Which book?
Maybe I would suggest you start with this one: Mathematics for ML by Marc Peter.
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Hello everyone
Mathematics for ML
- Math For Deep Learning/Data Science
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What is your experience with the AI/ML course?
Great to hear that you love math! AI/ML ultimately involves a lot of math. Do check this out: https://github.com/mml-book/mml-book.github.io
- If You were to start again. What Field would you choose for a long term?
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[R] The Modern Mathematics of Deep Learning
If you want to have better interactions with the readers, then you can consider creating a GitHub repository for the book (e.g., https://github.com/probml/pml-book and https://github.com/mml-book/mml-book.github.io).
What are some alternatives?
When comparing pml-book and mml-book you can also consider the following projects:
numerical-linear-algebra - Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
UnstableFusion - A Stable Diffusion desktop frontend with inpainting, img2img and more!
diffusion-models-class - Materials for the Hugging Face Diffusion Models Course
tutorials - AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
pml2-book - Probabilistic Machine Learning: Advanced Topics