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bayesian optimization finished

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ritchie46 2019-09-07 14:36:50 +02:00
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bayesian/bayesian_optimization/bayesian_optimization.ipynb
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readme.md
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# Various machine learning algorithms. Mostly vanilla.
* [bayesian optimization](https://www.ritchievink.com/blog/2019/08/25/algorithm-breakdown-bayesian-optimization/)
* [gaussian processes](https://www.ritchievink.com/blog/2019/02/01/an-intuitive-introduction-to-gaussian-processes/)
* [bayesian generalized additive models](https://www.ritchievink.com/blog/2018/10/09/build-facebooks-prophet-in-pymc3-bayesian-time-series-analyis-with-generalized-additive-models/)
* [gradient boosting machines](https://www.ritchievink.com/blog/2018/10/09/algorithm-breakdown-why-do-we-call-it-gradient-boosting/)
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* [support vector machine](https://www.ritchievink.com/blog/2017/11/27/implementing-a-support-vector-machine-in-scala/)
* [neural network](https://ritchievink.com/blog/2017/07/10/programming-a-neural-network-from-scratch/)
* [arima models](https://www.ritchievink.com/blog/2018/09/26/algorithm-breakdown-ar-ma-and-arima-models./)
* [expectation_maximization](/clustering/expectation_maximization.ipynb)
* [expectation maximization](/clustering/expectation_maximization.ipynb)