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Merge pull request #914 from stjepanjurekovic/patch-13

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Added Optimization Algorithms
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@ -65,7 +65,8 @@ The following is a list of free and/or open source books on machine learning, st
- [Managing Machine Learning Projects: From design to deployment](https://www.manning.com/books/managing-machine-learning-projects) - Simon Thompson
- [Causal Machine Learning](https://www.manning.com/books/causal-machine-learning) - Robert Ness - Practical introduction to building AI models that can reason about causality.
- [Bayesian Optimization in Action](https://www.manning.com/books/bayesian-optimization-in-action) - Quan Nguyen - Book about building Bayesian optimization systems from the ground up.
- - [Machine Learning Algorithms in Depth](https://www.manning.com/books/machine-learning-algorithms-in-depth)) - Vadim Smolyakov - Book about practical implementations of dozens of ML algorithms.
- [Machine Learning Algorithms in Depth](https://www.manning.com/books/machine-learning-algorithms-in-depth)) - Vadim Smolyakov - Book about practical implementations of dozens of ML algorithms.
- [Optimization Algorithms](https://www.manning.com/books/optimization-algorithms) - Alaa Khamis - Book about how to solve design, planning, and control problems using modern machine learning and AI techniques.
## Deep Learning