Closed sjwhitworth closed 10 years ago
Wouldn't it be better if we have like top 10 Machine Learning algorithms that need to be implemented so for instance: linear regression, boosting algorithms, etc. And we might want to divide it up into two categories: supervised and unsupervised learning. So some of these algorithms can just be translated from python to go. And I guess after translation, we test it and add some things that are needed.
Sounds good. I just think it'd be good if we implemented the most popular methods first, whilst not being too complex.
Again, a very useful method.