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added a Book: Mathematics for machine learning #198

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5 changes: 3 additions & 2 deletions README.md
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7. [Artificial Intelligence: A Modern Approach](http://aima.cs.berkeley.edu/)
8. [Deep Learning in Neural Networks: An Overview](http://arxiv.org/pdf/1404.7828v4.pdf)
9. [Artificial intelligence and machine learning: Topic wise explanation](https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/)
10.[Grokking Deep Learning for Computer Vision](https://www.manning.com/books/grokking-deep-learning-for-computer-vision)
10. [Grokking Deep Learning for Computer Vision](https://www.manning.com/books/grokking-deep-learning-for-computer-vision)
11. [Dive into Deep Learning](https://d2l.ai/) - numpy based interactive Deep Learning book
12. [Practical Deep Learning for Cloud, Mobile, and Edge](https://www.oreilly.com/library/view/practical-deep-learning/9781492034858/) - A book for optimization techniques during production.
13. [Math and Architectures of Deep Learning](https://www.manning.com/books/math-and-architectures-of-deep-learning) - by Krishnendu Chaudhury
14. [TensorFlow 2.0 in Action](https://www.manning.com/books/tensorflow-in-action) - by Thushan Ganegedara

15. [Mathematics for Machine Learning](https://mml-book.github.io/book/mml-book.pdf) - by Marc Peter Deisenroth, A Aldo Faisal, and Cheng Soon Ong

### Courses

1. [Machine Learning - Stanford](https://class.coursera.org/ml-005) by Andrew Ng in Coursera (2010-2014)
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