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@ -322,7 +322,7 @@ Further resources:
<a name="go-general-purpose"></a> <a name="go-general-purpose"></a>
#### General-Purpose Machine Learning #### General-Purpose Machine Learning
* [gago](https://github.com/MaxHalford/gago) - Multi-population, flexible, parallel genetic algorithm. * [eaopt](https://github.com/MaxHalford/eaopt) - An evolutionary optimization library.
* [Go Learn](https://github.com/sjwhitworth/golearn) - Machine Learning for Go. * [Go Learn](https://github.com/sjwhitworth/golearn) - Machine Learning for Go.
* [go-pr](https://github.com/daviddengcn/go-pr) - Pattern recognition package in Go lang. * [go-pr](https://github.com/daviddengcn/go-pr) - Pattern recognition package in Go lang.
* [go-ml](https://github.com/alonsovidales/go_ml) - Linear / Logistic regression, Neural Networks, Collaborative Filtering and Gaussian Multivariate Distribution. * [go-ml](https://github.com/alonsovidales/go_ml) - Linear / Logistic regression, Neural Networks, Collaborative Filtering and Gaussian Multivariate Distribution.