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Added a bunch of new titles 

Hi,

Stjepan from Manning here again. Today I've added a lot of new titles to several categories: Machine Learning, Deep Learning, Natural Language Processing, and Neural Networks. Thank you for considering them. Hope they make it to the list.

Best,
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@ -51,8 +51,13 @@ 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)
- [AI-Powered Search](https://www.manning.com/books/ai-powered-search)
- [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.
## Deep Learning
@ -68,15 +73,22 @@ 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
* [Coursera Course Book on NLP](http://www.cs.columbia.edu/~mcollins/notes-spring2013.html)
* [NLTK](https://www.nltk.org/book/)
* [Foundations of Statistical Natural Language Processing](https://nlp.stanford.edu/fsnlp/promo/)
* [Natural Language Processing in Action](https://www.manning.com/books/natural-language-processing-in-action) Early access book
* [Natural Language Processing in Action](https://www.manning.com/books/natural-language-processing-in-action)
* [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
@ -86,6 +98,7 @@ 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