josephmisiti/awesome-machine-learning
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README.md
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@ -1416,6 +1416,8 @@ be
<a name="rust-general-purpose-machine-learning"></a>
#### General-Purpose Machine Learning
* [smartcore](https://github.com/smartcorelib/smartcore) - "The Most Advanced Machine Learning Library In Rust."
* [linfa](https://github.com/rust-ml/linfa) - a comprehensive toolkit to build Machine Learning applications with Rust
* [deeplearn-rs](https://github.com/tedsta/deeplearn-rs) - deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.
* [rustlearn](https://github.com/maciejkula/rustlearn) - a machine learning framework featuring logistic regression, support vector machines, decision trees and random forests.
* [rusty-machine](https://github.com/AtheMathmo/rusty-machine) - a pure-rust machine learning library.

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books.md
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@ -51,8 +51,14 @@ The following is a list of free and/or open source books on machine learning, st
- [Python Data Science Handbook- Oriely](https://tanthiamhuat.files.wordpress.com/2018/04/pythondatasciencehandbook.pdf)
- [Mathematics for Machine Learning](https://mml-book.github.io/)
- [Approaching Almost any Machine learning problem Abhishek Thakur](https://github.com/abhishekkrthakur/approachingalmost)
- [MLOps Engineering at Scale](https://www.manning.com/books/mlops-engineering-at-scale) - Carl Osipov. Early access book that bridges the gap from experimental models to production machine learning systems.
- [AI-Powered Search](https://www.manning.com/books/ai-powered-search) - Trey Grainger, Doug Turnbull, Max Irwin. Early access book that teaches you the latest machine learning techniques to create search engines that continuously learn from your users and your content
- [MLOps Engineering at Scale](https://www.manning.com/books/mlops-engineering-at-scale) - Carl Osipov - Guide to bringing your experimental machine learning code to production using serverless capabilities from major cloud providers.
- [AI-Powered Search](https://www.manning.com/books/ai-powered-search) - Trey Grainger, Doug Turnbull, Max Irwin - Early access book that teaches you how to build search engines that automatically understand the intention of a query in order to deliver significantly better results.
- [Ensemble Methods for Machine Learning](https://www.manning.com/books/ensemble-methods-for-machine-learning) - Gautam Kunapuli - Early access book that teaches you to implement the most important ensemble machine learning methods from scratch.
- [Machine Learning Engineering in Action](https://www.manning.com/books/machine-learning-engineering-in-action) - Ben Wilson - Field-tested tips, tricks, and design patterns for building Machine Learning projects that are deployable, maintainable, and secure from concept to production.
- [Privacy-Preserving Machine Learning](https://www.manning.com/books/privacy-preserving-machine-learning) - J. Morris Chang, Di Zhuang, G. Dumindu Samaraweera - Keep sensitive user data safe and secure, without sacrificing the accuracy of your machine learning models.
- [Automated Machine Learning in Action](https://www.manning.com/books/automated-machine-learning-in-action) - Qingquan Song, Haifeng Jin, and Xia Hu - Optimize every stage of your machine learning pipelines with powerful automation components and cutting-edge tools like AutoKeras and Keras Tuner.
- [Distributed Machine Learning Patterns](https://www.manning.com/books/distributed-machine-learning-patterns) - Yuan Tang - Practical patterns for scaling machine learning from your laptop to a distributed cluster.
- [Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI](https://www.manning.com/books/human-in-the-loop-machine-learning) - Robert (Munro) Monarch - a practical guide to optimizing the entire machine learning process, including techniques for annotation, active learning, transfer learning, and using machine learning to optimize every step of the process.
## Deep Learning
@ -69,6 +75,10 @@ The following is a list of free and/or open source books on machine learning, st
* [Deep Learning with Structured Data](https://www.manning.com/books/deep-learning-with-structured-data) Early access book
* [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/drafts/SzeliskiBook_20100903_draft.pdf)
* [Deep Learning](https://www.deeplearningbook.org/)[Ian Goodfellow, Yoshua Bengio and Aaron Courville]
* [Deep Learning with Python, Second Edition](https://www.manning.com/books/deep-learning-with-python-second-edition)
* [Inside Deep Learning](https://www.manning.com/books/inside-deep-learning) Early access book
* [Math and Architectures of Deep Learning](https://www.manning.com/books/math-and-architectures-of-deep-learning) Early access book
* [Deep Learning for Natural Lanuage Processing](https://www.manning.com/books/deep-learning-for-natural-language-processing) Early access book
## Natural Language Processing
@ -79,6 +89,9 @@ The following is a list of free and/or open source books on machine learning, st
* [Natural Language Processing in Action, Second Edition](https://www.manning.com/books/natural-language-processing-in-action-second-edition) Early access book
* [Real-World Natural Language Processing](https://www.manning.com/books/real-world-natural-language-processing) Early access book
* [Essential Natural Language Processing](https://www.manning.com/books/essential-natural-language-processing) Early access book
* [Deep Learning for Natural Lanuage Processing](https://www.manning.com/books/deep-learning-for-natural-language-processing) Early access book
* [Natural Language Processing in Action, Second Edition](https://www.manning.com/books/natural-language-processing-in-action-second-edition) Early access book
* [Getting Started with Natural Language Processing in Action](https://www.manning.com/books/getting-started-with-natural-language-processing) Early access book
## Information Retrieval
@ -88,6 +101,7 @@ The following is a list of free and/or open source books on machine learning, st
* [A Brief Introduction to Neural Networks](http://www.dkriesel.com/_media/science/neuronalenetze-en-zeta2-2col-dkrieselcom.pdf)
* [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com/)
* [Graph Neural Networks in Action](https://www.manning.com/books/graph-neural-networks-in-action)
## Probability & Statistics